We&rsquo;re supporting a Series B company building AI-native software to modernise how businesses operate and make decisions. Their platform combines large language models, workflow automation, and structured data systems to deliver intelligent product experiences that users rely on daily.
&nbsp;
They're looking for an AI Engineer focused on applied AI systems, someone who can turn foundation models into reliable, production-grade product capabilities. This role is focused around real-world implementation: prompt engineering, retrieval systems, orchestration, evaluation, and backend integration rather than model research or training frontier models from scratch.
&nbsp;
You&rsquo;ll work closely with engineering, product, and design teams to ship AI features that are fast, trustworthy, and deeply integrated into the product experience.
&nbsp;
What You&rsquo;ll Do
<ul>
<li>Design and build LLM-powered product features using prompt engineering, structured outputs, tool usage, and function calling</li>
<li>Develop and improve retrieval-augmented generation (RAG) systems, including chunking strategies, embedding pipelines, indexing, and retrieval optimisation</li>
<li>Build orchestration layers for multi-step AI workflows involving agents, tools, memory, retries, and fallback handling</li>
<li>Integrate AI systems into backend services and production infrastructure</li>
<li>Evaluate model quality, latency, hallucination rates, and operational cost, then iterate to improve performance and reliability</li>
<li>Collaborate cross-functionally with product and design to create intuitive AI experiences with strong UX considerations</li>
<li>Experiment with emerging AI tooling, frameworks, and open-source models to improve product capabilities</li>
<li>Help define engineering best practices around observability, testing, evaluation, and safety for AI systems</li>
</ul>
&nbsp;
What We&rsquo;re Looking For
<ul>
<li>3+ years of experience building AI-driven products, ML-enabled applications, or backend systems with AI integrations</li>
<li>Strong hands-on experience working with modern LLM APIs and ecosystems (OpenAI, Anthropic, open-source models, etc.)</li>
<li>Solid Python engineering skills and experience building production backend services</li>
<li>Experience designing prompts, structured outputs, and tool-based workflows for real-world applications</li>
<li>Familiarity with retrieval systems, embeddings, vector databases, and semantic search concepts</li>
<li>Strong product instincts with attention to usability, responsiveness, and reliability</li>
<li>Comfortable operating in fast-moving startup environments with high ownership and ambiguity</li>
</ul>
&nbsp;
Nice to Have
<ul>
<li>Experience building agentic systems with planning, tools, and memory</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, DSPy, or similar orchestration tooling</li>
<li>Exposure to fine-tuning, adapters, evaluation pipelines, or synthetic data generation</li>
<li>Experience deploying AI workloads in cloud environments and monitoring production inference systems</li>
<li>Background working on workflow automation, productivity software, or AI copilots</li>
</ul>
Apply today!

AI Engineer

We&rsquo;re supporting a Series B AI-native company building the first revenue engine for startups. They&rsquo;re replacing legacy CRM and fragmented sales tools with an AI-first platform that revenue teams use every day.
We&rsquo;re looking for a Frontend Engineer to help build the core product experience. You&rsquo;ll work on the interfaces where AI, data, and workflows come together in real time &mdash; from chat and copilots to dynamic, context-aware systems that adapt based on model output. This is a high-ownership role at the intersection of product, design, and AI-native UX.
What you&rsquo;ll do:
&bull; Build AI-native interfaces including chat, copilots, and agent-driven workflows &bull; Ship dynamic, context-aware product surfaces that adapt in real time to user and model inputs &bull; Partner closely with product and design to craft intuitive, high-quality user experiences &bull; Focus on frontend performance, polish, and usability across the product &bull; Translate evolving AI outputs into clear, usable, and stable product experiences &bull; Help shape new UI patterns for AI-first software
What we&rsquo;re looking for:
&bull; Experience shipping production frontend features end to end &bull; Strong product sense and a clear eye for great UX and interaction design &bull; Excited by emerging UI patterns like LLM UX, streaming responses, and partial state updates &bull; Strong fundamentals in modern frontend development (React, TypeScript, component systems) &bull; Comfortable working in fast-moving environments with ambiguous and evolving product requirements
Nice to have:
&bull; Experience building real-time or chat-style interfaces (streaming responses, tool outputs, live updates) &bull; Exposure to design systems or reusable component libraries &bull; Experience making non-deterministic or evolving data feel stable and intuitive in UI design
&nbsp;
Apply today!

Frontend Engineer

We&rsquo;re supporting a Series B AI-native company building the first revenue engine for startups. They&rsquo;re replacing legacy CRM and fragmented sales tools with a unified platform powered by AI, data, and automation.
We&rsquo;re looking for a Senior Platform Engineer to help build the core data and ML infrastructure behind the product. You&rsquo;ll own the pipelines, systems, and infrastructure that make AI features, agents, and workflows work reliably in production. This is a high-ownership role at the intersection of distributed systems, data engineering, and applied AI.
What you&rsquo;ll do:
&bull; Build scalable, event-driven data pipelines for ingesting, transforming, and serving product data &bull; Support ML and AI workflows including training data pipelines, embeddings, evaluation systems, and feature generation &bull; Design and operate distributed systems focused on reliability, latency, and scale &bull; Improve observability, monitoring, and developer experience across data and ML infrastructure &bull; Work closely with product and engineering teams to ensure data and AI systems power real product use cases end to end &bull; Help define and evolve the foundational architecture that supports AI-driven product features
What we&rsquo;re looking for:
&bull; 3+ years building data platforms, ML infrastructure, or backend systems at scale &bull; Strong fundamentals in distributed systems, streaming architectures, and system design &bull; Experience with modern data stack tools (queues, orchestration, data warehouses, ETL/ELT systems) &bull; Strong programming skills in Go, Python, or similar backend languages &bull; Experience building reliable production systems with a focus on performance and observability &bull; Comfortable working in fast-moving startup environments with high ownership and ambiguity
&nbsp;
Apply today!

Senior Platform Engineer

We&rsquo;re supporting a Series B AI-native company building the next generation of software that helps businesses operate and make decisions with intelligence at the core. Their platform combines large language models, retrieval systems, and workflow automation to ship product experiences that feel fast, reliable, and genuinely useful in day-to-day operations.
We&rsquo;re looking for an AI Engineer to help build and scale the applied AI layer of the product. You&rsquo;ll work closely with product and engineering to turn model capabilities into real, production-ready features that users rely on. This is a hands-on role with ownership across everything from prototyping to production systems.
What you&rsquo;ll do:
&bull; Build and ship LLM-powered product features end to end using prompts, structured outputs, tool use, and function calling &bull; Design and improve retrieval systems (RAG), including embeddings, chunking strategies, indexing, and semantic search performance &bull; Build orchestration layers for multi-step AI workflows including agents, tools, memory, retries, and fallbacks &bull; Integrate AI capabilities into backend services and production infrastructure &bull; Build evaluation systems to measure quality, latency, cost, and hallucination rates, and iterate to improve reliability &bull; Partner with product and design to shape AI experiences that are intuitive, fast, and production-ready &bull; Experiment with new AI models, frameworks, and tooling to improve product capability and performance
What we&rsquo;re looking for:
&bull; 3+ years building AI-enabled products, backend systems, or ML-powered applications &bull; Strong hands-on experience with modern LLM APIs (OpenAI, Anthropic, open-source models, etc.) &bull; Strong Python engineering skills and experience building production backend systems &bull; Experience working with prompts, structured outputs, and tool-based LLM workflows &bull; Understanding of retrieval systems, embeddings, vector databases, and semantic search &bull; Strong product sense with focus on usability, reliability, and performance &bull; Comfortable working in fast-moving, high-ownership startup environments
Nice to have:
&bull; Experience building agentic systems with tools, planning, and memory &bull; Familiarity with frameworks like LangChain, LlamaIndex, DSPy, or similar &bull; Exposure to evaluation pipelines, fine-tuning, or synthetic data generation &bull; Experience deploying AI systems in cloud environments and monitoring inference in production &bull; Background in workflow automation, productivity tools, or AI copilots

Backend Product Engineer

Senior Software Engineer &ndash; Java
&nbsp;
Location: Abu Dhabi (relocation package available)
Salary: 28,000 &ndash; 30,000 AED per month
&nbsp;
We are hiring a Senior Software Engineer to join a fast-scaling Cybersecurity company, take end-to-end ownership of complex systems, from architecture and design through to deployment and observability. This is a senior individual contributor role where you will operate with a high level of autonomy, driving technical excellence while influencing engineering standards across teams.
&nbsp;
You will play a key role in shaping the medium- to long-term technical direction, working on scalable, distributed systems and ensuring best-in-class performance, security, and reliability. Alongside hands-on engineering, you will mentor other engineers and collaborate closely with stakeholders to align technical solutions with business objectives.
&nbsp;
Required Experience:
<ul>
<li>8+ years of experience in Software Engineering</li>
<li>You&rsquo;ve designed, built, and operated microservices, and understand OOD and design patters</li>
<li>Solid knowledge of Java, Spring Boot, Spring Security, and RESTful APIs</li>
<li>Experience with relational databases and caching technologies like Redis</li>
<li>Hands-on experience with Docker, Kubernetes, Cloud (AWS/GCP), and CI/CD pipelines</li>
<li>Solid experience with observability tools (metrics, logs, tracing)</li>
<li>Understanding of performance, scalability, and system reliability and a Security-first mindset</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul>
<li>Ownership of high-impact, business-critical systems and architecture</li>
<li>Opportunity to shape engineering standards and technical direction</li>
<li>Work alongside a highly collaborative and experienced team</li>
<li>A senior role with real influence across engineering teams and stakeholders</li>
<li>Family health insurance and visa &amp; relocation package includes flights and first-month accommodation</li>
</ul>
&nbsp;
If this sounds like the right next step in your career, apply with your latest CV and we&rsquo;ll discuss the opportunity in more detail!

Senior Software Engineer - Java

Title: AI/ML Engineer &ndash; Voice AI / Speech Models / Real-Time Audio Systems
&nbsp;
Tech Stack: Python, PyTorch, GCP, Vertex AI, Cloud Run, STT, TTS, Transformers, Audio ML, Real-Time Inference
&nbsp;
What You&rsquo;ll Do:
Join a fast-scaling AI startup building a next-generation voice AI platform powering real-time enterprise communication systems across industries like banking, fintech, and customer operations.
&nbsp;
You will work on the core AI layer behind real-time conversational systems, helping design, train, optimise, and deploy production-grade speech models used in live environments.
This is a highly applied AI role focused on taking models from research into production, with strong ownership across training, evaluation, inference, and deployment.
&nbsp;
Key responsibilities include:
<ul>
<li>Training and fine-tuning speech models across STT, TTS, and conversational voice AI use cases</li>
<li>Building scalable ML pipelines for training, inference, and deployment</li>
<li>Improving latency, speech quality, and real-time performance of voice systems</li>
<li>Working on modern deep learning architectures for speech and audio understanding</li>
<li>Deploying production ML systems on GCP using services like Vertex AI and Cloud Run</li>
<li>Designing evaluation frameworks around accuracy, latency, robustness, and conversational quality</li>
<li>Collaborating closely with engineering and product teams to ship real-world AI features into production systems</li>
</ul>
&nbsp;
Who They Are:
A well-funded AI startup building advanced voice infrastructure and conversational AI products for enterprise customers across the Middle East.
&nbsp;
The company operates at the intersection of speech AI, real-time systems, and enterprise automation, building technology across voice agents, speech infrastructure, workflow automation, and AI-powered communications.
&nbsp;
Their products are already being deployed into enterprise environments, and the team is now scaling aggressively across AI research and engineering.
This is an opportunity to join an early but high-growth environment where engineers have direct ownership, fast feedback loops, and real impact on product direction.
&nbsp;
Requirements: 
<ul>
<li>5+ years of experience building ML or deep learning systems in production</li>
<li>Strong Python engineering skills</li>
<li>Hands-on experience with PyTorch or PyTorch Lightning</li>
<li>Strong understanding of deep learning fundamentals, transformers, optimisation, and sequence models</li>
<li>Experience deploying ML systems end-to-end in cloud environments</li>
<li>Comfortable working in startup environments with fast iteration cycles</li>
<li>Speech AI / Voice AI experience (ASR, STT, TTS, conversational AI)</li>
<li>Experience with real-time or low-latency inference systems</li>
<li>Exposure to distributed training or large-scale model optimisation</li>
<li>Understanding of telephony, VoIP, or communications systems</li>
<li>Arabic or multilingual speech model experience</li>
</ul>

AI/ML Engineer - Voice AI / Speech Models

We are working with a startup building a next-gen, AI-native physical device. They are creating a new category of ambient hardware that turns daily real-world audio inputs into hyper-personalized, actionable user insights.
&nbsp;
The Role
We are looking for a Founding iOS Engineer to build our client's core mobile framework from the ground up. This isn't a standard CRUD or lifestyle app - it serves as the central control layer for an external hardware device. You&rsquo;ll be tackling complex engineering challenges around persistent background states, real-time data streaming over BLE, and heavy media processing pipelines.
&nbsp;
What We&rsquo;re Looking For
<ul data-path-to-node="13">
<li>
Experience: 3+ years of professional iOS experience, ideally with a background spanning early-stage startups and elite engineering teams&nbsp;
</li>
<li>
Deep Native Technical Chops: Mastery of the iOS SDK far beyond UI implementation. You should live and breathe app lifecycles, background execution, performance tuning, local persistence, networking, and App Store constraints.
</li>
<li>
Product Sensibility: An eye for fluid animations and micro-interactions, coupled with the high-autonomy drive needed to build a category-defining 0&rarr;1 product.
</li>
<li>
Logistics: Located in SF (in-person).
</li>
</ul>
&nbsp;
Comp &amp; Equity
<ul data-path-to-node="15">
<li>
$180,000 - $250,000 base salary + up to 1% equity.
</li>
</ul>
&nbsp;
👉&nbsp;Interested? Apply directly.

Founding iOS Engineer

We are working with a startup building a next-gen, AI-native physical device. They are creating a new category of ambient hardware that turns daily real-world audio inputs into hyper-personalized, actionable user insights.
The Role
Our client is looking for a hands-on AI Engineer&nbsp;to own their core intelligence layer. This is a 0&rarr;1 product role where you will bridge streaming real-world audio with complex context engineering. You&rsquo;ll optimize low-latency streaming pipelines (STT/TTS/VAD) and build intelligent context windows and vector-based long-term memory retrieval systems so the platform can accurately recall past interactions and notice subtle behavioral trends.
What We&rsquo;re Looking For
<ul data-path-to-node="4">
<li>
Experience: 5-8 years of software engineering experience with a track record of shipping production-grade AI architectures in a fast-paced startup environment.
</li>
<li>
Domain Expertise: Deep technical experience with voice/audio AI data processing, streaming audio APIs, and LLM/LMM orchestration.
</li>
<li>
Product Mindset: A strong passion for building consumer-facing, AI-native products where model behavior directly drives user empathy and trust.
</li>
<li>
Logistics: Located in SF, USA (in-person).&nbsp;
</li>
</ul>
&nbsp;
Comp &amp; Equity
<ul data-path-to-node="6">
<li>
$230,000 &ndash; $300,000 base salary + up to 1% equity.
</li>
</ul>
👉 Interested? Apply directly

Founding Product Designer
San Francisco 
Full-time 
&nbsp;
This is a rare early design hire at a well-backed, fast-moving AI startup solving a problem that every growing company faces but almost no one has cracked. You'll work shoulder-to-shoulder with the CEO, shaping both the product and the design culture from the ground up.
&nbsp;
About the company
Backed by leading Silicon Valley investors and built by veterans of top tech companies, this startup is building an AI-native product that helps organizations stay coherent as they scale, giving everyone from individual contributors to executives real-time clarity on what's happening, why it matters, and what to do next. It's a mission-critical tool, not a nice-to-have.
&nbsp;
The team is lean, deliberate, and moves fast. Design is a first-class citizen here, you won't be handed specs to execute. You'll help define them.
&nbsp;
What you'll do
<ul>
<li>Partner directly with the CEO on product strategy and direction, your input will shape the roadmap, not just the pixels</li>
<li>Take early, ambiguous product ideas and transform them into sharp requirements, clear user flows, and polished interfaces</li>
<li>Design across multiple surfaces: desktop app, web dashboard, notifications, and AI-generated outputs</li>
<li>Rapidly prototype and iterate in Figma and interactive mocks, then test them with real users to close the feedback loop fast</li>
<li>Collaborate closely with engineers to ensure every design is buildable, performant, and scalable</li>
<li>Build and maintain a growing design system: components, patterns, and documentation that scales with the product</li>
<li>Define metrics and measurement frameworks so you know whether your design decisions are actually working</li>
<li>Run lightweight usability tests and user research to stay grounded in operator reality</li>
<li>Contribute to design culture through critiques, mentorship, and sharing craft with the broader team</li>
</ul>
&nbsp;
What we're looking for
<ul>
<li>3+ years designing UX and UI for software products of real scale and complexity</li>
<li>Strong visual craft you have an eye for composition, typography, and the nuances of modern AI product design</li>
<li>Deep fluency in Figma and prototyping tools; you use them to think, not just to deliver</li>
<li>A track record of owning the design process end-to-end from discovery through launch</li>
<li>The ability to drive decisions with structured thinking, clear rationale, and user-centred evidence</li>
<li>Experience bringing data into the design process defining metrics, interpreting signals, iterating accordingly</li>
</ul>
&nbsp;
Nice to have
<ul>
<li>Experience designing information tools, internal workflows, or operational systems</li>
<li>Prior work designing or prototyping AI-powered or agentic experiences</li>
<li>Consumer product design background</li>
</ul>
&nbsp;
What's on offer
<ul>
<li>Salary rabge $150,000 - $230,000</li>
<li>Meaningful equity</li>
<li>Full medical, dental &amp; vision</li>
<li>Free meals on in-office days + UberEats credits</li>
<li>Equinox + wellness memberships</li>
</ul>

Founding Product Designer

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&nbsp;
Senior Backend Engineer - Distributed Systems &amp; Search Infrastructure
&nbsp;
Tech Stack: Rust / Go / C++ / Swift / AWS / Serverless Infrastructure
&nbsp;
What You&rsquo;ll Do:
Project Details:
&bull; Build backend systems designed to search and process massive volumes of structured and unstructured data at scale
&bull; Develop high-performance infrastructure that enables fast querying across terabytes of historical data
&bull; Work on distributed systems powering large-scale ingestion, indexing, and storage pipelines
&bull; Help design cloud-native systems optimized for scalability, cost efficiency, and low-latency performance
&bull; Improve reliability and performance across backend services handling high-throughput workloads
&bull; Contribute to infrastructure that supports real-time monitoring, operational visibility, and security-focused detection workflows
&bull; Work closely with a highly collaborative engineering team to rapidly ship high-quality products and features
&bull; Participate in architectural decisions across backend systems, cloud infrastructure, and developer tooling
&bull; Help evolve systems that prioritize developer experience, speed, and operational simplicity
&nbsp;
Who They Are:
Company Details:
&bull; Engineering-led startup building modern infrastructure for large-scale search and data analysis
&bull; Focused on helping teams query and investigate massive datasets quickly and efficiently
&bull; Building cloud-native tooling designed for scalability, performance, and operational visibility
&bull; Small, highly technical environment where engineers have significant ownership and influence
&bull; Strong focus on distributed systems, backend infrastructure, and developer tooling
&bull; Fast-moving culture with minimal process and an emphasis on pragmatic problem solving
&bull; Team built by engineers for engineers, with close collaboration across product and infrastructure
&bull; Engineers work directly on technically challenging systems with real-world scale and performance demands
&nbsp;
What Is In It For You:
Benefits:
&bull; Salary up to $250k plus meaningful equity
&bull; Opportunity to work on difficult distributed systems and large-scale backend infrastructure problems
&bull; High ownership environment with direct impact on architecture and technical direction
&bull; Work closely with experienced founders and engineering leadership
&bull; Exposure to modern serverless and cloud-native infrastructure at scale
&bull; Collaborative, low-bureaucracy engineering culture focused on building high-quality systems quickly
&bull; Ability to influence tooling, backend architecture, and developer experience from an early stage
&bull; Comprehensive benefits package including healthcare coverage, retirement benefits, commuter support
&nbsp;
Who You Are:
Requirements:
&bull; Strong backend engineering experience with distributed systems in production environments
&bull; Experience with systems programming languages such as Rust (preferred) OR Go, C/C++
&bull; Familiarity with databases, database internals, and large-scale data processing systems
&bull; Understanding of distributed systems concepts and backend infrastructure design
&bull; Comfortable working with cloud-native infrastructure and modern backend tooling
&bull; Experience building scalable ingestion, storage, or query systems is highly valuable
&bull; Comfortable operating in fast-paced, low-process startup environments
&bull; Strong ownership mindset with the ability to design, build, and operate systems end-to-end
&bull; Minimum of 5 years of professional software engineering experience with a backend focus
</div>
</div>
</div>
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Senior Rust Engineer - Distributed Systems + Database Internals

Join a fast-growing Series A startup ($25M raised) building the AI-native platform redefining how modern revenue teams operate.
&nbsp;
We&rsquo;re looking for a Frontend Engineer to help shape the next generation of AI-first UX - chat, copilots, agents, and dynamic workflows that adapt in real time.
&nbsp;
What You&rsquo;ll Do
<ul>
<li>Build AI-native interfaces and agent-driven workflows</li>
<li>Ship dynamic, context-aware product experiences</li>
<li>Partner closely with product and design on UX and interaction patterns</li>
<li>Push frontend quality across performance, polish, and usability</li>
</ul>
&nbsp;
What We&rsquo;re Looking For
<ul>
<li>Experience shipping production frontend features end-to-end</li>
<li>Strong product sense and eye for great UX</li>
<li>Excited by modern AI UX patterns (streaming, copilots, partial state)</li>
<li>Strong React + TypeScript fundamentals</li>
</ul>
&nbsp;
Nice to Have
<ul>
<li>Experience with real-time or chat-style interfaces</li>
<li>Worked on design systems or component libraries</li>
<li>Comfortable making evolving or unreliable data feel intuitive</li>
</ul>
&nbsp;
This opportunity offers high ownership, fast execution, small team and big ambition.

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&nbsp;
Founding Engineer &mdash; AI Infrastructure / OSS / Systems
Stack: Rust, Distributed Systems, Graph Infrastructure, Lakehouse Architecture, AI Agents
&nbsp;
We&rsquo;re building core infrastructure for autonomous AI systems.
&nbsp;
At the center is a lakehouse-native graph database designed for AI agents, bringing git-style workflows (branching, commits, merges) to typed graph data. The goal is to create a durable, versioned, queryable memory layer purpose-built for agentic systems.
&nbsp;
The engine is open source (MIT licensed), already seeing early adoption, and backed by a broader vision around multi-agent orchestration and forward-deployed AI infrastructure.
We&rsquo;re funded, building in public, and hiring a Founding Engineer to shape both the architecture and engineering culture from day one.
&nbsp;
The Role
This is not a traditional VP Engineering hire.
We&rsquo;re looking for a deeply technical builder who can:
<ul>
<li>Write production Rust code</li>
<li>Own technical direction across the platform</li>
<li>Hire and mentor the first engineers</li>
<li>Work directly with customers and integrations</li>
<li>Help shape the OSS narrative and developer ecosystem around the product</li>
</ul>
&nbsp;
The profile is closer to an early engineering leader at Linear, Cursor, Vercel, or LanceDB than a career manager or pure OSS maintainer.
&nbsp;
What We Value
The strongest candidates usually demonstrate:
<ul>
<li>High agency through OSS, writing, side projects, or communities</li>
<li>Strong first-principles judgment</li>
<li>Resilience and long-term consistency</li>
<li>The ability to attract exceptional engineers</li>
<li>A credible public technical voice</li>
</ul>
&nbsp;
We care about engineers who have actually built foundational systems &mdash; query engines, storage layers, graph infrastructure, distributed systems, retrieval runtimes, or versioned-data systems &mdash; not simply worked adjacent to them.
&nbsp;
Rust experience is strongly preferred.
&nbsp;
We also value people already thinking deeply about:
<ul>
<li>AI memory architectures</li>
<li>Knowledge graphs for LLMs</li>
<li>Git-for-data systems</li>
<li>Lakehouse infrastructure</li>
<li>OSS business models and governance</li>
</ul>
&nbsp;
Founding Engineer DNA
This is fundamentally a 0&rarr;1 environment.
We want someone who:
<ul>
<li>Has taken products from blank repo to real adoption</li>
<li>Can operate across infrastructure, APIs, SDKs, and product UX</li>
<li>Is comfortable working directly inside customer environments</li>
<li>Combines systems depth with product instinct</li>
</ul>
&nbsp;
If building foundational infrastructure for AI agents from first principles sounds exciting, we&rsquo;d love to speak.
</div>
</div>
</div>
</article>
</div>

Founding Engineer - SF

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&nbsp;
Title: Senior Rust Engineer - Distributed Systems &amp; AI Integrations
&nbsp;
Tech Stack: Rust / Distributed Systems / LLMs / MCP / GenAI / Databases / Database Internals
&nbsp;
What You&rsquo;ll Do:
Project Details:
&bull; Design and implement high-performance backend systems in Rust
&bull; Own infrastructure powering AI integrations, real-time collaboration, auth, billing, and telemetry
&bull; Integrate LLMs, MCP, and GenAI capabilities directly into core product workflows
&bull; Work on systems handling real-time data and user interactions at scale
&bull; Collaborate closely with product and design to solve complex, user-facing challenges
&bull; Improve reliability through deterministic testing and strong engineering practices
&bull; Continuously optimize performance, scalability, and system resilience
&nbsp;
Who They Are:
Company Details:
&bull; Small, highly technical team building a next-generation developer platform from first principles in Rust
&bull; Product-focused engineers who prioritize speed, performance, and simplicity
&bull; Building real-time, collaborative systems used directly by developers
&bull; Operating at the cutting edge of AI-enabled tooling with deep product integration (not surface-level AI features)
&bull; Strong ownership culture with minimal hierarchy and fast decision-making
&bull; Rapid shipping cycles with tight feedback loops from an engaged user base
&bull; Opportunity to influence architecture and technical direction early
&nbsp;
What Is In It For You:
Benefits:
&bull; Up to $250k + meaningful equity upside
&bull; Ownership of core product-defining systems
&bull; Work on genuinely hard problems across distributed systems and AI
&bull; High trust, low bureaucracy environment
&bull; Remote-first setup with a strong engineering culture
&bull; Collaborate with engineers who care deeply about performance and craft
&nbsp;
Who You Are:
Requirements:
&bull; Strong experience building production systems in Rust
&bull; Proven background designing or operating distributed systems
&bull; Hands-on experience with AI systems (LLMs, MCP, GenAI) in real products - not just AI-assisted development
&bull; Experience training, fine-tuning, deploying models OR deeply integrating LLMs into product workflows
&bull; Strong fundamentals in systems design, performance optimization, and debugging
&bull; Ability to operate autonomously in a fast-paced, high-ownership environment
&bull; Strong communication skills for effective remote collaboration
&bull; Willingness to contribute across the stack and engage in product-level decisions
</div>
</div>
</div>
</article>
</div>
<div id="SALARY" class="jobs-details__salary-main-rail-card"></div>

Senior Rust Engineer - Build the Future of developer tooling

Title: Senior Software Engineer - High-Scale AI CXM Platform
&nbsp;
Tech Stack: Ruby on Rails &middot; Python &middot; PostgreSQL &middot; Elasticsearch &middot; Redis &middot; RabbitMQ &middot; Kubernetes &middot; AWS / GCP &middot; APISIX &middot; Grafana &middot; Loki
&nbsp;
What You&rsquo;ll Do:
You&rsquo;ll be building and evolving a large-scale, event-driven backend platform that processes massive volumes of customer experience data in real time across multiple digital channels.
The environment is highly distributed, with 100+ microservices handling billions of events, where reliability, throughput, and fault tolerance are critical.
You&rsquo;ll work across:
<ul>
<li>Designing and operating high-volume, event-based systems that reliably move and process data at scale</li>
<li>Building and scaling messaging infrastructure (RabbitMQ), including queue stability, consumer scaling strategies, and handling backpressure in production</li>
<li>Developing API gateway capabilities such as intelligent routing, traffic control, multi-environment separation, and upstream management</li>
<li>Supporting enterprise authentication flows, including multi-provider identity federation and SSO integration without tight coupling to core services</li>
<li>Defining and maintaining service boundaries across ingestion, processing, and delivery layers spanning Ruby and Python systems</li>
<li>Investigating and resolving deep production issues such as deadlocks, queue saturation, and database contention &mdash; and removing the underlying systemic causes rather than patching symptoms</li>
<li>Optimising PostgreSQL under heavy write load, including schema design, indexing strategy, connection scaling, and contention reduction</li>
<li>Designing and tuning Elasticsearch for large-scale search workloads, including real-time, multilingual (including Arabic) relevance challenges</li>
<li>Choosing the right execution model (async vs multi-process vs hybrid) depending on workload behaviour and system constraints</li>
</ul>
&nbsp;
Who They Are:
A fast-scaling AI-driven customer experience intelligence platform operating across the MENA region.
&nbsp;
The business is moving towards IPO-level scale and is actively re-architecting its core systems to support extreme growth, real-time intelligence, and AI-native capabilities.
The engineering culture is built around ownership at every level &mdash; engineers are expected to engage directly with system failures, production instability, and architectural weaknesses without waiting for escalation paths or strict ownership boundaries.
This is an environment where the system is treated as shared responsibility. If something is broken or inefficient, the expectation is that the person who sees it will step in and improve it.
The platform itself operates at very large scale, processing billions of customer interaction signals and evolving toward real-time AI-driven decisioning across enterprise clients.
&nbsp;
What Is In It For You:
<ul>
<li>Exposure to systems operating at genuine high scale (billions of events, not synthetic workloads)</li>
<li>Direct visibility and impact with senior leadership, including CTO-level engagement</li>
<li>Opportunity to work in a pre-IPO environment where engineering decisions directly shape product and company trajectory</li>
<li>High autonomy with real ownership over critical systems</li>
<li>The chance to work on complex distributed systems problems that sit at the edge of performance, reliability, and AI integration</li>
</ul>
&nbsp;
Requirements:
<ul>
<li>Strong grounding in distributed systems and an instinct for how systems fail under load</li>
<li>Proven experience working with event-driven architectures and message-based systems in production environments</li>
<li>Deep understanding of concurrency, system bottlenecks, and resilience patterns</li>
<li>Hands-on experience investigating and resolving complex production incidents, with a focus on root cause elimination rather than surface fixes</li>
<li>Background in backend engineering using Ruby on Rails or Python at scale</li>
<li>Comfortable working across large, evolving codebases and understanding system behaviour quickly</li>
<li>Strong opinions on architecture backed by real production experience and measurable outcomes</li>
<li>Systems thinker: you naturally reason in terms of latency, throughput, failure modes, and cost efficiency</li>
<li>Treats observability, testing, and system documentation as core engineering responsibilities rather than optional extras</li>
<li>Demonstrated ability to ship quickly without compromising system stability or reliability</li>
<li>Track record of proactively improving systems beyond your immediate scope of responsibility</li>
<li>Experience stabilising or rebuilding significant production systems and able to clearly explain the technical challenges involved</li>
</ul>

Senior Software Engineer - High Scale AI CXM Platform

🚀 Freelance Senior Full-Stack Engineer (Java) | Amsterdam-Based | 12-month Contract
&nbsp;
The client is an internationally recognised organisation undergoing a major technology transformation. Their engineering teams build the backbone of a multi-billion euro operation, and they're looking for a talented Senior Full-Stack Engineer to join a critical platform team.
&nbsp;
The Role:
&nbsp;
You'll architect, build, and maintain high-performance Java microservices that power critical fulfilment and specific operations at massive scale, spanning dozens of countries and hundreds of operational touchpoints worldwide. Your work will have a direct, tangible impact on a global business.
&nbsp;
What you'll bring:
&nbsp;
✅ 5+ years in professional software development, with strong distributed systems experience
✅ Deep Java expertise - Spring Boot or Quarkus, JPA/Panache, MapStruct, RESTeasy, OAuth, OpenAPI
✅ Hands-on with Docker, Kubernetes, and cloud-native architecture
✅ Daily use of AI-powered coding assistants (GitHub Copilot, Claude, Cursor, or Gemini) - this is a hard requirement
✅ Observability skills: OpenTelemetry, Grafana, Prometheus
✅ Front-end familiarity with Angular and TypeScript
✅ Polyglot mindset - Node.js, TypeScript, Python, or Golang is a bonus
✅ Solid grounding in DDD, SOLID principles, and Clean Architecture
&nbsp;
Why This Role?
&nbsp;
🌍 Truly global impact - your code runs critical infrastructure at an organisation operating across the world
🤝 International, collaborative engineering culture spanning European and Asian time zones
🧠 A team that values learning, knowledge sharing, and psychological safety
⚡ Cutting-edge stack with a genuine commitment to AI-assisted development

Senior Full Stack Engineer - Contract

We&rsquo;re hiring an Applied AI Engineer to design and deploy AI-powered automation across the company. This is a highly cross-functional, high-ownership role. You&rsquo;ll work directly with teams across engineering, research, hardware, and business operations to identify where AI can drive meaningful efficiency gains, and then build the solutions end-to-end.
One week you might design an AI workflow to automate internal research; the next, you&rsquo;re building tools that give teams instant access to critical data across systems. This role is ideal for someone who thrives in ambiguity, moves quickly, and wants to ship systems people actually rely on.
**We are only able to consider applications from U.S. citizens or Green Card holders due to the nature of the project**
&nbsp;
What You&rsquo;ll Do
<ul>
<li>Design, build, and deploy production-grade AI agents and automation tools</li>
<li>Architect reliable, secure, and observable systems</li>
<li>Implement human-in-the-loop workflows, feedback loops, and fail-safes</li>
<li>Work directly with stakeholders to understand workflows and pain points</li>
<li>Conduct interviews and workflow analysis before building</li>
<li>Translate insights into scoped, high-impact solutions</li>
<li>Own rollout, onboarding, and iteration of tools you build</li>
<li>Ensure systems are actually used and deliver value</li>
<li>Share best practices for AI adoption across teams</li>
<li>Apply strong security practices (access control, data handling, etc.)</li>
<li>Write clear documentation (runbooks, APIs, decision logs)</li>
<li>Monitor and evaluate system performance</li>
</ul>
What We&rsquo;re Looking For
<ul>
<li>Strong CS fundamentals and experience shipping production software</li>
<li>Hands-on experience with LLM APIs or AI agent systems</li>
<li>Ability to go from problem discovery &rarr; solution &rarr; deployment</li>
<li>Strong product intuition and stakeholder communication skills</li>
<li>Security-minded approach to system design</li>
</ul>
Nice-to-Have
<ul>
<li>Experience building internal tools or operational automation</li>
<li>Familiarity with agent patterns (tool use, memory, multi-agent systems)</li>
<li>Experience with evaluation/monitoring of AI systems</li>
<li>Experience in fast-paced or startup environments</li>
</ul>
What Success Looks Like
<ul>
<li>You ship AI systems that teams actively depend on</li>
<li>Your work measurably improves speed or decision-making</li>
<li>Systems you build are maintainable and well-documented</li>
<li>You identify and prioritise the next highest-impact opportunities</li>
</ul>

Location: UAE (remote first, with 50% client travel)
Salary: 35,000 &ndash; 40,000 AED
&nbsp;
This is a high-impact, client-facing role within a fast-scaling AI startup focused on transforming complex, high-stakes enterprise workflows. As a Deployment Strategist, you will act as the solution authority across enterprise engagements owning the journey from initial qualification through to implementation and adoption.
&nbsp;
You will work closely with senior stakeholders to identify operational inefficiencies, design high-value AI-driven solutions, and lead cross-functional teams to deliver measurable outcomes. This role sits at the intersection of consulting, solution architecture, and delivery, requiring both commercial judgment and technical fluency. It&rsquo;s an opportunity to shape how AI is deployed in environments where precision, compliance, and execution quality are critical.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoNormal">Background in enterprise solution design, implementation, consulting, technical pre-sales, or transformation leadership</li>
<li class="MsoNormal">Understanding of industrial, engineering, energy, or Oil &amp; Gas industries</li>
<li class="MsoNormal">Experience operating in multi-stakeholder, enterprise environments with both technical and commercial audiences</li>
<li class="MsoNormal">Ability to translate business challenges into structured, phased solution roadmaps with clear ROI</li>
<li class="MsoNormal">Strong commercial acumen combined with the technical fluency to design AI-enabled solutions</li>
<li class="MsoNormal">Demonstrated success in converting PoCs into scaled deployments</li>
<li class="MsoNormal">High level of comfort working with modern AI tools and workflows (e.g. LLM-based platforms and copilots)</li>
<li class="MsoNormal">Comfortable operating in fast-paced, high-performance environments with ambiguity</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoNormal">End-to-end ownership of enterprise solution delivery, from strategy through to execution and adoption</li>
<li class="MsoNormal">Opportunity to work on high-value, mission-critical solutions where AI has real business impact</li>
<li class="MsoNormal">Direct exposure to senior enterprise stakeholders and decision-makers</li>
<li class="MsoNormal">The chance to help shape implementation models and influence product evolution</li>
</ul>
 If this aligns with your experience, apply with your latest CV and we&rsquo;ll be in touch to discuss the opportunity in more detail!

Deployment Strategist (Enterprise AI) - Industrial / Engineering 

Location:&nbsp;Abu Dhabi&nbsp;
Salary:&nbsp;40,000 - 45,000 AED + Commission
Our client is a fast-scaling, VC-backed AI platform transforming how enterprise organisations operate. The business is entering a critical growth phase, scaling both revenue and delivery capability across international markets. Hiring an AI Implementation Lead to build and embed the operational systems that enable this scale.
This is a hands-on, high-impact role working closely with the founding team to design and implement the core operating infrastructure across customer delivery, commercial execution, and internal workflows. You will be client facing, supporting the team across sales, presales, solution design, build, and implementation. You will build from zero in a fast-moving, and high growth environment.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoNormal">10+ years experience in enterprise SaaS, AI implementations, Solution Architecture, or commercial operations</li>
<li class="MsoNormal">You&rsquo;ve built operational playbooks, SOPs, and systems from scratch</li>
<li class="MsoNormal">Experience designing and scaling customer success and implementation frameworks</li>
<li class="MsoNormal">Understanding of RevOps, CRM governance, pipeline management, and forecasting</li>
<li class="MsoNormal">Experience operating within enterprise sales environments, with exposure to complex deal cycles and delivery models</li>
<li class="MsoNormal">Advanced usage of AI tools (e.g. LLM-based workflows) to drive productivity and operational efficiency</li>
<li class="MsoNormal">Strong stakeholder management skills, with the ability to engage confidently at executive level</li>
<li class="MsoNormal">Comfortable operating in ambiguity, with the ability to quickly create clarity and direction</li>
<li class="MsoNormal">Existing network within industrial, engineering, technology, or enterprise sectors is advantageous</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoNormal">Opportunity to build the operational backbone of a high-growth, category-defining AI business</li>
<li class="MsoNormal">Direct collaboration with founders and senior leadership, with real influence on company direction</li>
<li class="MsoNormal">End-to-end ownership across customer delivery, commercial operations, and internal systems</li>
<li class="MsoNormal">A role that blends strategy and execution, with tangible, visible impact</li>
<li class="MsoNormal">Exposure to global enterprise clients across multiple high-value sectors</li>
</ul>
&nbsp;
If this opportunity aligns with your experience, please apply with your latest CV and we&rsquo;ll be in touch to discuss the role!

AI Implementation Lead

Location: Abu Dhabi (relocation package available)
Salary: 28,000 &ndash; 30,000 AED per month
&nbsp;
We are hiring a Senior Software Engineer to join a fast-scaling Cybersecurity company, take end-to-end ownership of complex systems, from architecture and design through to deployment and observability. This is a senior individual contributor role where you will operate with a high level of autonomy, driving technical excellence while influencing engineering standards across teams.
&nbsp;
You will play a key role in shaping the medium- to long-term technical direction, working on scalable, distributed systems and ensuring best-in-class performance, security, and reliability. Alongside hands-on engineering, you will mentor other engineers and collaborate closely with stakeholders to align technical solutions with business objectives.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoListParagraph">8+ years of experience in Software Engineering</li>
<li class="MsoListParagraph">You&rsquo;ve designed, built, and operated microservices, and understand OOD and design patters</li>
<li class="MsoListParagraph">Solid knowledge of Java, Spring Boot, Spring Security, and RESTful APIs</li>
<li class="MsoListParagraph">Experience with relational databases and caching technologies like Redis</li>
<li class="MsoListParagraph">Hands-on experience with Docker, Kubernetes, Cloud (AWS/GCP), and CI/CD pipelines</li>
<li class="MsoListParagraph">Solid experience with observability tools (metrics, logs, tracing)</li>
<li class="MsoListParagraph">Understanding of performance, scalability, and system reliability and a Security-first mindset</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoNormal">Ownership of high-impact, business-critical systems and architecture</li>
<li class="MsoNormal">Opportunity to shape engineering standards and technical direction</li>
<li class="MsoNormal">Work alongside a highly collaborative and experienced team</li>
<li class="MsoNormal">A senior role with real influence across engineering teams and stakeholders</li>
<li class="MsoNormal">Family health insurance and visa &amp; relocation package includes flights and first-month accommodation</li>
</ul>
&nbsp;
If this sounds like the right next step in your career, apply with your latest CV and we&rsquo;ll discuss the opportunity in more detail!

Senior Software Engineer (Java, Springboot)

Location: London
Salary: &pound;90,000 - &pound;100,000
&nbsp;
This is a high-impact architecture role within a fast-moving SaaS environment, where you will help design and evolve scalable, secure, and highly available systems across multiple products. You will work closely with product managers and engineering teams to translate business requirements into robust technical solutions, shaping everything from APIs and microservices to cloud infrastructure and event-driven platforms.
&nbsp;
The environment is highly collaborative and flat-structured, giving you visibility across the full product and platform lifecycle. This role is ideal for a hands-on architect who is equally comfortable designing systems at scale as they are engaging with engineers on implementation details.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoListParagraph">Proven experience as a Software Architect designing for scalability, high availability, and resilience</li>
<li class="MsoListParagraph">Strong background in software engineering (Java/Spring Boot preferred)</li>
<li class="MsoListParagraph">Solid experience with cloud platforms (AWS or GCP ideally)</li>
<li class="MsoListParagraph">Understanding of distributed systems, microservices, and event-driven architectures</li>
<li class="MsoListParagraph">Hands-on experience with APIs, streaming, messaging, queue-based systems, Kubernetes and IaC</li>
<li class="MsoListParagraph">Understanding of security principles, including authentication/authorisation (OIDC, OAuth2)</li>
<li class="MsoListParagraph">Any experience in highly regulated industries (finance, defence, cybersecurity) is beneficial but not essential</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoListParagraph">Ownership of key architectural decisions across greenfield and pre-existing products</li>
<li class="MsoListParagraph">Opportunity to shape complex application and infrastructure architecture at scale</li>
<li class="MsoListParagraph">High autonomy within a technically strong, collaborative engineering culture</li>
</ul>
&nbsp;
If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further!

Senior Software & Infrastructure Architect

Location: Abu Dhabi
Salary: 40,000 &ndash; 50,000 AED per month
&nbsp;
This is a high-impact architecture role within a fast-moving SaaS environment, where you will help design and evolve scalable, secure, and highly available systems across multiple products. You will work closely with product managers and engineering teams to translate business requirements into robust technical solutions, shaping everything from APIs and microservices to cloud infrastructure and event-driven platforms.
&nbsp;
The environment is highly collaborative and flat-structured, giving you visibility across the full product and platform lifecycle. This role is ideal for a hands-on architect who is equally comfortable designing systems at scale as they are engaging with engineers on implementation details.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoListParagraph">Proven experience as a Software Architect designing for scalability, high availability, and resilience</li>
<li class="MsoListParagraph">Strong background in software engineering (Java/Spring Boot preferred)</li>
<li class="MsoListParagraph">Solid experience with cloud platforms (AWS or GCP ideally)</li>
<li class="MsoListParagraph">Understanding of distributed systems, microservices, and event-driven architectures</li>
<li class="MsoListParagraph">Hands-on experience with APIs, streaming, messaging, queue-based systems, Kubernetes and IaC</li>
<li class="MsoListParagraph">Understanding of security principles, including authentication/authorisation (OIDC, OAuth2)</li>
<li class="MsoListParagraph">Any experience in highly regulated industries (finance, defence, cybersecurity) is beneficial but not essential</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoListParagraph">Ownership of key architectural decisions across greenfield and pre-existing products</li>
<li class="MsoListParagraph">Opportunity to shape complex application and infrastructure architecture at scale</li>
<li class="MsoListParagraph">High autonomy within a technically strong, collaborative engineering culture</li>
<li class="MsoNormal">Benefits include Visa &amp; health insurance (for you and your family), and annual flight ticket</li>
<li class="MsoNormal">Relocation package includes flights and one month accommodation on arrival (for you and your family)</li>
</ul>
&nbsp;
Why Relocate to the UAE?
Abu Dhabi offers an exceptional lifestyle with tax-free income, year-round sun, and a high standard of living. Ranked as the second safest country in the world, making it an ideal location for individuals and families seeking long-term stability. The UAE has become a major hub for innovation, driven by significant investment attracting some of the coolest start-ups and scale-ups from across the globe.
&nbsp;
If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further!

Location: Abu Dhabi, UAE (relocation package available)
Salary: 30,000 &ndash; 40,000 AED per month
&nbsp;
This role sits at the core of a high-performance engineering function responsible for building and scaling secure, cross-platform SDKs and applications across iOS and Android. You will define the technical vision and architectural direction for mobile frameworks used by internal teams and external partners globally, with a strong emphasis on security-first engineering, and high-assurance mobile interactions.
&nbsp;
This role is best suited to an experienced Mobile Engineer with experience in the Telco sector, who operates confidently at both system design and hands-on implementation level, particularly within security-sensitive, high-scale mobile environments.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoNormal">7+ years of mobile engineering experience in Swift, Objective C, and Kotlin</li>
<li class="MsoNormal">Proven experience of designing and shipping production-grade mobile SDKs</li>
<li class="MsoNormal">Experience with mobile security primitives (iOS Keychain, Secure Enclave, Android KeyStore, StrongBox)</li>
<li class="MsoNormal">Experience with API design and integration (REST, JWT, OAuth, certificate pinning)</li>
<li class="MsoNormal">Must have industry experience in Telco or eSIM environments, including integration with carrier entitlements</li>
</ul>
&nbsp;
What's in it for you?
<ul type="disc">
<li class="MsoListParagraph">Opportunity to define and own the mobile architecture for a mission-critical platform</li>
<li class="MsoListParagraph">High-impact role working closely with leadership and cross-functional product teams</li>
<li class="MsoListParagraph">Build systems that operate at the intersection of mobile security at scale</li>
<li class="MsoListParagraph">Benefits include Visa &amp; health insurance (for you and your family), and annual flight ticket</li>
<li class="MsoListParagraph">Relocation package includes flights and one month accommodation on arrival (for you and your family)</li>
</ul>
&nbsp;
Why Relocate to the UAE?
Abu Dhabi offers an exceptional lifestyle with tax-free income, year-round sun, and a high standard of living. Ranked as the second safest country in the world, making it an ideal location for individuals and families seeking long-term stability. The UAE has become a major hub for innovation, driven by significant investment attracting some of the coolest start-ups and scale-ups from across the globe.
&nbsp;
If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further!

Lead Mobile Engineer | Telco & eSIM SDK | Abu Dhabi 🇦🇪

AI Rust Engineer Remote (American or European time zones)
&nbsp;
UMATR is partnering with a well-backed developer tools company to hire an AI Rust Engineer into their engineering team.
&nbsp;
Our client is building AI-native workflows for software engineers. Most AI coding tools today operate on prompts and frozen snapshots of source code, but real engineering happens inside large, living codebases that change constantly through edits, refactors, reviews, and conversation. The team is building AI systems that sit inside that environment and reason about code the way engineers actually experience it, as something that evolves rather than something static.
&nbsp;
A core piece of the platform records the operational history of development as it happens, capturing edits, discussions, and AI interactions so that models can reason about how code arrived at its current state, not just what it currently says. The work sits at the crossroads of AI systems, developer tooling, and real-time collaboration.
&nbsp;
The company is backed by top-tier global investors and experienced operators from some of the world's leading tech companies, and works closely with an engaged community of developers who care about the craft of their tools.
&nbsp;
This role is about shaping how AI understands large, evolving codebases. You'll build the infrastructure that feeds models the right context and design the evaluation loops that tell you whether their suggestions are actually improving the software. Many of the questions in this space don't yet have settled answers, and part of the job is designing and testing new approaches inside real developer workflows.
&nbsp;
What You'll Do
<ul>
<li>Design systems that let AI participate directly in real developer workflows</li>
<li>Build the infrastructure that connects language models to the editor and surrounding tooling</li>
<li>Develop context systems that help models reason about large, complex codebases</li>
<li>Design evaluation frameworks that measure whether AI-assisted development is genuinely helping engineers</li>
<li>Improve the reliability, latency, and cost efficiency of AI features in production</li>
<li>Collaborate closely with editor and infrastructure engineers to get ideas shipped quickly</li>
<li>Pair program with teammates to explore and refine systems together</li>
</ul>
&nbsp;
What We're Looking For
<ul>
<li>Hands-on experience building production systems powered by large language models</li>
<li>A strong grasp of model behaviour, prompting, and evaluation</li>
<li>A track record of integrating AI capabilities into real shipped software</li>
<li>Solid backend or systems programming experience</li>
<li>Genuine interest in developer tools and programming environments</li>
<li>Experience with Rust, or a real willingness to pick it up quickly</li>
<li>Strong collaboration instincts, comfortable working closely with other engineers</li>
</ul>
&nbsp;
Ideal Background
<ul>
<li>You've built AI coding assistants or developer tooling before</li>
<li>You have experience with, and a strong understanding of MCP</li>
<li>You've designed evaluation systems for LLM-driven products</li>
<li>You've worked with large codebases, compilers, or language tooling</li>
<li>You've built with tool-using or agent-style models</li>
<li>Production Rust experience</li>
</ul>
&nbsp;
Interested in finding out more? Hit Apply!

AI Rust Engineer - Remote

UMATR is partnering with a venture-backed startup building software infrastructure for advanced hardware systems. We are looking for a Staff/Principal Frontend Engineer to join them remotely from within the US.
&nbsp;
About the company
Our client builds the data and software layer that sits underneath some of the most demanding physical engineering programmes in the world. Their platform ingests high-rate telemetry from complex machines, validates autonomy and control software as it runs, and gives the engineers working on these systems a faster feedback loop without compromising on safety or precision. The team is small, cross-disciplinary, and takes problems end-to-end across the hardware and software boundary.
&nbsp;
They serve a mix of commercial and defense customers in regulated, mission-critical domains, and are backed by top-tier global investors alongside experienced operators from some of the world's leading technology, space, and autonomy companies.
&nbsp;
This role is focused on turning dense, technical data into interfaces that feel fast, clear, and genuinely usable. You'll be building the product surfaces that the company's most sophisticated users rely on every day.
&nbsp;
What you'll do
<ul>
<li>Build and refine product features in React, TypeScript, and Next.js, with a strong focus on craft and usability.</li>
<li>Work closely with backend engineers to integrate APIs and deliver smooth end-to-end experiences.</li>
<li>Partner with product and design on validating flows, prototyping, and iterating on features.</li>
<li>Contribute to the frontend architecture, particularly around handling large data volumes and keeping the UI responsive under load.</li>
<li>Optimise for performance so that complex, data-heavy views stay fast and fluid.</li>
</ul>
&nbsp;
What we're looking for
<ul>
<li>3+ years of frontend engineering experience, ideally shipping web applications or data-driven tools.</li>
<li>Strong command of React, TypeScript, and modern JavaScript tooling (Next.js a plus).</li>
<li>A real eye for UX and visual detail, and the instinct to push back on designs that will not hold up in use.</li>
<li>Comfort integrating with APIs (REST, GraphQL, or similar) and reasoning about client-server boundaries.</li>
<li>A collaborative approach and a willingness to feed into product decisions, not just execute tickets.</li>
</ul>
&nbsp;
Ideal background
<ul>
<li>Experience building products for technical or expert users, such as dashboards, timeseries visualisation, or complex data-editing environments.</li>
<li>Familiarity with utility-first CSS (Tailwind or similar) and modern component libraries.</li>
<li>Performance engineering experience, especially rendering or virtualising large datasets.</li>
<li>Bonus: exposure to WebGL, canvas-based visualisation, or graphics programming.</li>
</ul>
&nbsp;
Logistics
<ul>
<li>Locations: New York, NY, Los Angeles, CA, or Austin, TX.</li>
<li>Base salary: $130,000 to $230,000 per year.</li>
<li>Benefits include full medical, dental, and vision coverage, unlimited PTO, free lunch and snacks in office, a professional development stipend, and an annual company retreat.</li>
<li>ITAR: to comply with U.S. Government export regulations, applicants must be a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorisations from the U.S. Department of State.</li>
</ul>
&nbsp;
Interested in finding out more? Hit Apply!

Staff/Principal Frontend Engineer

Rust Engineers 🦀
I&rsquo;m hiring for a&nbsp;Senior Rust Software Engineer to join a team building high-performance, production-grade systems where Rust is the core language.
This isn&rsquo;t a &ldquo;we&rsquo;re experimenting with Rust&rdquo; role - it&rsquo;s deeply embedded in the stack and used to solve real, complex engineering problems.
&nbsp;
What you&rsquo;ll be doing:
&bull; Building low-latency, high-throughput systems
&bull; Working on performance-critical backend infrastructure
&bull; Writing safe, efficient, production-grade Rust
&bull; Contributing to system design and architecture
&nbsp;
What I&rsquo;m looking for:
&bull; Strong experience using Rust in production
&bull; Background in systems or backend engineering
&bull; Solid understanding of concurrency, memory, and performance
&bull; Engineers who care about clean, reliable code
&nbsp;
Nice to have:
&bull; Experience with C/C++/Go
&bull; Distributed systems or cloud infrastructure exposure
&nbsp;
📍 Remote
💰 up to $500k + equity
🚀 High-impact role with real ownership
&nbsp;
If you&rsquo;re building in Rust and want to go deeper with it, this is a great opportunity.

Senior Software Engineer

Forward Deployed Engineer (FDE - AI - Enterprise AI) - UAE 🇦🇪
&nbsp;
Working with a well-backed Enterprise AI start-up operating in mission-critical systems for large enterprises to hire multiple FDEs for the team in Abu Dhabi.
&nbsp;
They&rsquo;re focused on turning messy, document-heavy, high-stakes workflows into structured, usable systems powered by AI. Less &ldquo;chatbot&rdquo;, more real operational impact.
&nbsp;
This role sits right in the middle of that.
&nbsp;
You&rsquo;ll be taking loosely defined problems from enterprise clients and turning them into working systems.
&nbsp;
*Must have experience building or deploying AI-driven workflows (multi-step reasoning, tool use, orchestration, LLM-powered systems)*
&nbsp;
Salary: AED 35k+ (flexible - let's chat)
Package: visa, medical, bonus, hybrid flexibility
&nbsp;
What you&rsquo;ll actually do:
<ul>
<li>Lead technical discovery and shape solutions with clients</li>
<li>Scope and deliver PoCs with clear outcomes</li>
<li>Build + deploy end-to-end workflows (data pipelines, integrations, AI-driven processes)</li>
<li>Own delivery from first conversation to production to iteration</li>
<li>Work across multiple engagements at once, often with imperfect data and shifting requirements</li>
</ul>
&nbsp;
What you bring:
<ul>
<li>5+ years in solutions/software engineering, implementation, or technical consulting</li>
<li>You&rsquo;re comfortable in ambiguity and can structure messy problems quickly</li>
<li>You thrive in complex environments &amp; capable of dealing with customer stakeholders</li>
<li>You can actually ship - not just design</li>
<li>Hands-on RAG, agentic systems, APIs, workflow automations, etc</li>
</ul>

Forward Deployed Engineer (AI)

UMATR is supporting an early-stage technology company building an AI-driven platform that helps businesses streamline and improve their revenue operations. Their product brings together data, automation, and machine learning to modernise how teams manage customer relationships and sales processes.
&nbsp;
They're looking for a Senior Platform Engineer to help develop the core data and machine learning platform. This includes building pipelines, backend systems, and infrastructure that enable intelligent features and automation in production environments. This is a high-impact role working across data engineering, distributed systems, and applied machine learning.
&nbsp;
What You&rsquo;ll Do
<ul>
<li>Design and build scalable data pipelines and backend systems for ingesting, processing, and serving data</li>
<li>Support machine learning workflows, including data preparation, evaluation, and feature development</li>
<li>Address challenges in distributed systems such as reliability, performance, and scalability</li>
<li>Improve internal tooling, observability, and developer workflows across data and ML systems</li>
</ul>
&nbsp;
What We&rsquo;re Looking For
<ul>
<li>3+ years of experience building backend systems, data platforms, or ML infrastructure</li>
<li>Strong understanding of distributed systems and data processing architectures</li>
<li>Experience working with modern data tools (e.g., messaging systems, data storage, orchestration frameworks)</li>
<li>Proficiency in Go, Python, or similar programming languages</li>
</ul>

Senior Data Platform Engineer

Title: Agentic AI Engineer - Production AI Agent (Relocation to Saudi Arabia)
Tech Stack: Python, FastAPI, LangGraph, LangChain, LlamaIndex, Postgres, pgvector, Redis, n8n, Docker, Langfuse, Arize Phoenix, OpenTelemetry, Promptfoo, GPT-4o, Whisper, vLLM, Ollama
What You&rsquo;ll Do:
You&rsquo;ll be building production-grade agentic AI systems that sit inside real procurement, financing, and supply chain workflows.&nbsp;This is a hands-on engineering role where you will design, build, and ship AI agents that go beyond prototypes and operate in real enterprise environments.
&nbsp;
You will:
<ul>
<li>Build agentic workflows using LangGraph, LangChain, and LlamaIndex</li>
<li>Develop FastAPI services powering agent execution and APIs</li>
<li>Design and implement RAG systems across structured and unstructured data</li>
<li>Automate operational workflows using n8n (integrations, approvals, scheduling)</li>
<li>Build reliable tool-calling systems with retries, fallback logic, and human-in-the-loop controls</li>
<li>Ensure performance and scalability using Redis, background jobs, and robust system design</li>
<li>Implement observability and evaluation frameworks to monitor real-world agent performance</li>
<li>Work across multimodal and speech-based systems where needed</li>
</ul>
&nbsp;
Who They Are:
You&rsquo;ll be joining a team building next-generation AI infrastructure for enterprise workflows in a highly complex, real-world industry.
The focus is on moving beyond AI experimentation into production systems that directly automate operational and commercial processes.
The environment is fast-moving, engineering-led, and focused on shipping real systems that have measurable business impact. You&rsquo;ll be working closely with teams solving problems in procurement, finance, and supply chain operations at scale.
&nbsp;
What Is In It For You:
<ul>
<li>Tax free earnings</li>
<li>Premium Residency</li>
<li>SAR 70k Housing Allowance annually</li>
<li>SAR 75k schooling allowance per kid upto 2 kids (annually)</li>
<li>Full Medical insurance</li>
<li>ESOPs (would need to confirm what they look like)</li>
<li>Relocation Package (Flights/accommodation)</li>
</ul>
&nbsp;
Who You Are:
We&rsquo;re looking for a strong backend/AI engineer with production experience in LLM systems.
You should have:
<ul>
<li>Strong Python engineering experience (FastAPI preferred)</li>
<li>Hands-on experience building LLM agents and/or RAG systems in production</li>
<li>Good understanding of Postgres and vector search (pgvector)</li>
<li>Experience with Docker and production deployments</li>
<li>Familiarity with Redis, queues, and async system design</li>
<li>Experience with observability or evaluation tools for AI systems</li>
<li>Ability to write clean, testable, production-ready code</li>
</ul>

Senior Agentic AI Engineer

We are working with a fast-scaling AI startup that is transforming enterprise environments, through advanced AI-driven solutions. They are hiring a Deployment Strategist to take ownership of delivering AI solutions into large-scale environments, ensuring complex initiatives are translated into tangible, high-impact outcomes. This role sits at the intersection of technology, delivery, and client engagement, leading projects from early-stage scoping through to full production rollout.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoNormal">At least 3+ years of experience in AI technical delivery or implementation roles</li>
<li class="MsoNormal">Background in technical program management, consulting delivery, SaaS environments, or similar</li>
<li class="MsoNormal">Implemented AI solutions (GenAI, CoPilot, Agentic etc)</li>
<li class="MsoNormal">Experience coordinating complex implementations from concept through to launch</li>
<li class="MsoNormal">Solid understanding of technical concepts such as APIs, integrations, and data flows</li>
<li class="MsoNormal">Must speak English &amp; At least one other SA language</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoNormal">Comp + Equity in a fast scaling start up!</li>
<li class="MsoNormal">Work at the forefront of AI within enterprise-scale environments</li>
<li class="MsoNormal">High-impact role with direct exposure to complex, real-world AI products</li>
<li class="MsoNormal">Clear path for growth within a rapidly scaling organisation</li>
</ul>
&nbsp;
If you'd like to discuss the role further, then apply with your latest CV to be considered!

Deployment Strategist | Enterprise AI solutions 

We are working with a fast-scaling AI startup that is transforming enterprise environments, through advanced AI-driven solutions. They are hiring a Deployment Strategist to take ownership of delivering AI solutions into large-scale environments, ensuring complex initiatives are translated into tangible, high-impact outcomes. This role sits at the intersection of technology, delivery, and client engagement, leading projects from early-stage scoping through to full production rollout.
&nbsp;
Required Experience:
<ul type="disc">
<li class="MsoNormal">At least 3+ years of experience in AI technical delivery or implementation roles</li>
<li class="MsoNormal">Background in technical program management, consulting delivery, SaaS environments, or similar</li>
<li class="MsoNormal">Implemented AI solutions (GenAI, CoPilot, Agentic etc)</li>
<li class="MsoNormal">Experience coordinating complex implementations from concept through to launch</li>
<li class="MsoNormal">Solid understanding of technical concepts such as APIs, integrations, and data flows</li>
<li class="MsoNormal">Must speak Arabic &amp; English</li>
</ul>
&nbsp;
What&rsquo;s in it for you?
<ul type="disc">
<li class="MsoNormal">Comp + Equity in a fast scaling start up!</li>
<li class="MsoNormal">Work at the forefront of AI within enterprise-scale environments</li>
<li class="MsoNormal">High-impact role with direct exposure to complex, real-world AI products</li>
<li class="MsoNormal">Clear path for growth within a rapidly scaling organisation</li>
</ul>
&nbsp;
If you'd like to discuss the role further, then apply with your latest CV to be considered!

Deployment Strategist | Enterprise AI solutions

Founding Engineer &ndash; Rust / Systems
&nbsp;
We&rsquo;re supporting a stealth-stage AI startup backed by world-class investors and led by a highly technical founding team. Their mission is to transform how developers train, deploy, and optimize large language models &mdash; building the infrastructure that powers AI in the real world.
&nbsp;
They're looking for a Founding Engineer with deep Rust experience to help architect and scale the backend systems of a next-gen LLM developer platform - focused on performance, observability, and modularity.
&nbsp;
What You&rsquo;ll Be Building:
<ul>
<li>Core backend services written in Rust for high-throughput, low-latency LLM interaction</li>
<li>Infrastructure that supports dynamic in-context learning, prompt evaluation, and fine-tuning orchestration</li>
<li>Scalable APIs and serverless components using AWS Lambda, ECS, and S3</li>
<li>Real-time logging, metrics, and evaluation pipelines to surface model behavior and performance</li>
<li>Modular systems that can evolve into an open-source foundation for the LLM infra ecosystem</li>
</ul>
&nbsp;
Tech Stack:
<ul>
<li>Languages: Rust (heavily), TypeScript (frontend), Python (light)</li>
<li>Infra: AWS (Lambda, ECS, S3), Docker, Terraform</li>
<li>Datastores: MySQL, Postgres, S3</li>
<li>Frontend: Svelte, Tailwind (you'll collaborate, not build here)</li>
<li>LLM Integrations: OpenAI, fine-tuning, prompt chaining, eval harnesses</li>
</ul>
&nbsp;
Why You Should Join:
<ul>
<li>Founding team impact &mdash; define the backend architecture, roadmap, and engineering culture</li>
<li>Modern, open tooling &mdash; much of the platform is designed to be open-source and community-facing</li>
<li>Well-capitalized &mdash; backed by elite investors with years of runway</li>
<li>Mission-aligned &mdash; build the infrastructure that helps AI become more transparent, reliable, and usable</li>
</ul>

Founding Rust Engineer

Senior Agentic AI Engineer - Relocation to Riyadh (tax-free income) 🇸🇦
&nbsp;
We are working with a leading regional start-up transforming the intersection of industrial supply chains and B2B financing. Our client is embedding autonomous agents into the core of global trade, procurement, and credit operations.
&nbsp;
We are looking for a Senior AI Engineer to move beyond simple prompting and build production-grade, stateful agentic architectures that solve complex, multi-step business logic.
&nbsp;
This is a foundational role for an engineer who thrives at the intersection of LLM orchestration and robust backend engineering, working with stakeholders with vast FAANG experience in the Bay Area.
&nbsp;
Comp:
USD 150k-USD 180k per year (tax-free)
Educational allowance (circa USD 20k per child)
Housing allowance (circa USD 20k)
Premium residency in Saudi Arabia
ESOPs
Relocation support + premium medical insurance for you and dependants
&nbsp;
What You&rsquo;ll Build
&nbsp;
<ul>
<li>Design stateful, multi-agent systems using LangGraph and LlamaIndex to handle complex decision-making</li>
<li>Build deterministic tool-calling patterns, human-in-the-loop gates, and advanced RAG pipelines over massive structured/unstructured dataset</li>
<li>Integrate n8n and FastAPI to bridge the gap between AI reasoning and real-world execution (webhooks, ERP integrations, and scheduled triggers)</li>
<li>Implement rigorous observability and regression testing using Langfuse and Promptfoo to ensure our agents are safe, fast, and cost-effective</li>
<li>Deploy and manage services via Docker, utilising Redis for high-performance queuing and caching</li>
</ul>
&nbsp;
&nbsp;
What You Bring:
<ul>
<li>You write clean, testable code and are an expert in FastAPI</li>
<li>You have shipped LLM-based products using LangGraph, LangChain, or equivalent frameworks</li>
<li>Experience with vector databases (pgvector), complex SQL, and data chunking strategies for RAG.</li>
<li>Comfortable with Docker, asynchronous workflows, and building for 99.9% reliability</li>
<li>You don't consider a feature "done" until it has traces, logs, and a repeatable evaluation harness</li>
<li>Experience serving open-weight models (vLLM / Ollama)</li>
</ul>
&nbsp;
What You'll Ship in Your First Month
<ul>
<li>An Automated Procurement Agent that analyzes RFQs, normalizes technical specifications, and drafts vendor communications for human approval</li>
<li>A Credit Intelligence Engine that parses complex financial documents to flag risks and generate underwriting summaries autonomously</li>
<li>A Production-Grade Eval Suite to measure LLM performance against cost and latency benchmarks before any code hits production</li>
</ul>
&nbsp;
&nbsp;
Relocation to Riyadh is a must. Interested? Apply today.

Senior Agentic AI Engineer - Relocation to Riyadh

About the Role
The team develops software solutions for complex engineering challenges. As an Engineer on this team, you will work closely with end-users to solve problems, develop and deploy solutions, and iterate quickly to meet project needs. This role requires strong technical skills, creativity, and the ability to work independently in dynamic and evolving environments.
You will see your work directly influence project outcomes and help build tools that improve how teams operate. This role is suited for engineers who enjoy problem-solving, collaborating with stakeholders, and contributing to technical solutions in novel areas.
&nbsp;
Responsibilities
<ul>
<li>Build and deploy custom applications, scripts, and extensions to meet specific customer requirements, prioritising action and rapid prototyping.</li>
<li>Design and implement resilient data pipelines and integration workflows to connect diverse customer data systems with our platform.</li>
<li>Collaborate closely with sales and operations teams to ensure smooth customer handoffs, provide technical expertise during pre-sales discussions, and scope engagements effectively.</li>
<li>Gather feedback and insights from frontline users to inform product development and improve offerings.</li>
<li>Contribute to team growth by sourcing, interviewing, and onboarding new engineers.</li>
</ul>
&nbsp;
Qualifications
<ul>
<li>Experience designing, building, and shipping software in ambiguous or fast-changing environments.</li>
<li>Excellent problem-solving and analytical skills with a proactive, &ldquo;get things done&rdquo; attitude.</li>
<li>Customer-centric mindset with a passion for solving real-world problems using technology.</li>
<li>Excitement to be an early team member building software tools that amplify the capabilities of hardware engineering teams.</li>
<li>Willingness and ability to travel up to 25&ndash;50% to work on-site with end-users (e.g., test facilities, manufacturing sites, clean rooms).</li>
</ul>
&nbsp;
Preferred Skills
<ul>
<li>Solution-oriented: Experience collaborating with customers to solve complex problems in evolving environments.</li>
<li>Adaptability: Previous experience in startup or entrepreneurial settings where agility and end-to-end ownership are critical.</li>
</ul>

Forward Deployed Engineer

Title: Fullstack Rust Engineer - Rust Backend / React &amp; TypeScript Frontend
&nbsp;
Tech Stack: Rust, TypeScript, React, APIs, Data Infrastructure, Postgres, Event Streaming, Cloud (AWS/GCP)
&nbsp;
What You&rsquo;ll Do
Project Details
You&rsquo;ll join a small, high calibre engineering team building a new financial data platform that turns real-world information into structured financial indexes.
The system aggregates global news, events, and claims, transforming them into datasets that can be analyzed and traded. Rust powers the backend infrastructure, while the frontend is built with TypeScript and React.
&nbsp;
In this role, you&rsquo;ll work across the stack - building high-performance backend services in Rust and developing product-facing applications in React. Engineers have significant ownership and collaborate closely on product direction, architecture, and system design.
Example work includes:
<ul>
<li>Building backend services and APIs in Rust</li>
<li>Developing data-driven web applications using React and TypeScript</li>
<li>Designing interfaces for exploring complex datasets and indexes</li>
<li>Working on systems that ingest and process large volumes of real-world data</li>
<li>Contributing to architecture and product decisions in a small team</li>
</ul>
&nbsp;
&nbsp;
Who They Are:
Company Details
This is an early-stage, well-funded startup based in New York City focused on building a new category of financial data infrastructure.
The company is creating a platform that transforms real-world information - such as news, claims, and events - into structured financial indexes that can be analyzed and traded programmatically.
The engineering team is intentionally small and highly collaborative, with a strong emphasis on building high-quality systems and thoughtful products. Rust is used across the core backend infrastructure, while the frontend is built using modern web technologies.
Engineers are given a high level of ownership and autonomy, with the opportunity to influence both the product and the underlying architecture.
The team values strong technical ability, curiosity, and a collaborative mindset, and they are looking for engineers who are excited about working closely with a small group to build a technically ambitious product.
&nbsp;
What Is In It For You:
Benefits
<ul>
<li>Base salary between $200-250k depending on experience</li>
<li>Meaningful early-stage equity</li>
<li>Opportunity to work across both backend infrastructure and product-facing applications</li>
<li>Direct collaboration with founders and early engineers</li>
<li>Significant ownership over product and technical decisions</li>
<li>Hybrid working environment based in New York City</li>
<li>Collaborative engineering culture focused on building great systems and products</li>
</ul>
Who You Are:
Requirements
<ul>
<li>Experience building backend systems using Rust</li>
<li>Strong experience with Typescript and React for building modern web applications</li>
<li>Comfortable working across the full stack, from backend services to user-facing interfaces</li>
<li>Experience designing APIs and building data-driven applications</li>
<li>Ability to work in a small, fast-moving engineering team with high ownership</li>
</ul>
Nice to have:
<ul>
<li>Experience working with financial data, trading platforms, or analytics tools</li>
<li>Experience building data-heavy user interfaces or visualization tools</li>
<li>Background in distributed systems or infrastructure engineering</li>
<li>Experience working in early-stage startups</li>
</ul>

Fullstack Rust Engineer 

Frontend Engineer &ndash; High-Performance Data &amp; Visualization Platform (React, Typescript, Next.js)
&nbsp;
I&rsquo;m working with a high-calibre engineering team building a modern software platform that powers some of the world&rsquo;s most advanced hardware systems across aerospace, autonomy, robotics, and next-generation industrial tech.
&nbsp;
Their product sits at the intersection of hardware and software - ingesting high-rate telemetry, validating complex autonomy systems in real time, and giving engineers powerful tools to iterate faster without sacrificing safety or reliability.
&nbsp;
They&rsquo;re a small, elite team solving genuinely hard technical problems with real-world impact.
The role
&nbsp;
They&rsquo;re looking for a Frontend Engineer to help build polished, high-performance web interfaces used by engineers working on complex, data-heavy systems.
&nbsp;
You&rsquo;ll be working primarily in React and TypeScript, partnering closely with backend, product, and design to turn complex technical data into fast, intuitive, and genuinely usable interfaces.
This is a great fit for someone who enjoys working close to the product, cares deeply about UX, and likes building tools for highly technical users.
&nbsp;
What you&rsquo;ll be doing
<ul>
<li>Building and shipping frontend features using React, Next.js, and TypeScript</li>
<li>Designing and implementing clean, intuitive UI for complex workflows and datasets</li>
<li>Working closely with backend engineers to integrate APIs and data pipelines</li>
<li>Partnering with product and design to iterate on user experience and workflows</li>
<li>Helping shape scalable frontend architecture for performance-sensitive applications</li>
<li>Optimising performance for large datasets and real-time / near-real-time systems</li>
</ul>
&nbsp;
What they&rsquo;re looking for
<ul>
<li>Strong experience with React and TypeScript</li>
<li>A strong eye for UX and design details</li>
<li>Experience building tools for technical users (dashboards, data platforms, visualisation tools, complex editors, etc.)</li>
<li>Someone collaborative who wants to influence product direction, not just execute tickets</li>
</ul>
&nbsp;
Nice to have
<ul>
<li>Next.js experience</li>
<li>Tailwind or similar modern CSS frameworks</li>
<li>Experience integrating APIs (REST, GraphQL, or tRPC-style)</li>
<li>Performance optimisation experience for data-heavy UIs</li>
<li>Interest or experience in data visualisation or graphics-heavy interfaces</li>
</ul>
&nbsp;
Why this is interesting
<ul>
<li>You&rsquo;re working on a product used in real mission-critical environments</li>
<li>You&rsquo;re solving genuinely hard UX + performance problems, not marketing sites</li>
<li>Small, high-talent-density team with real ownership and impact</li>
<li>Strong compensation, benefits, and long-term growth</li>
</ul>

Senior Frontend Engineer (React, Typescript, Next.js)

<div class="jobs-box--fadein jobs-box--full-width jobs-box--with-cta-large jobs-description
 
 
 
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<div class="jobs-description__content jobs-description-content
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<div id="job-details" class="jobs-box__html-content
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 jobs-description-content__text--stretch" tabindex="-1" data-artdeco-is-focused="true">
<div class="mt4">
&nbsp;
AI Engineer - Agentic Systems / LLM Applications - remote within UAE 🇦🇪
&nbsp;
*must be residing in the UAE*
&nbsp;
We&rsquo;re supporting a US AI start-up building applications that turn complex, unstructured data into actionable intelligence. Their platform combines LLMs, retrieval systems, and AI agents to support real-world analytical and decision-making workflows.
&nbsp;
We're looking for AI Engineers who build &amp; ship production systems - not just prototypes, and that are comfortable working across the full lifecycle of AI applications.
&nbsp;
Fast-paced, autonomy, high expectations.
&nbsp;
What&rsquo;s on Offer:
&nbsp;
<ul>
<li>Remote-first environment with option to work from UAE office</li>
<li>AED 35k - AED 40k + Equity + Visa &amp; Medical coverage</li>
<li>Opportunity to build real-world AI systems used in high-impact environments</li>
<li>Small, high-calibre, global engineering team with strong ownership and autonomy</li>
</ul>
&nbsp;
The Role:
You&rsquo;ll design and build AI-native applications powered by modern foundation models and agentic workflows, taking ideas from prototype through to production.
&nbsp;
Building retrieval pipelines, intelligent agents, and applications that extract insight from messy, real-world datasets.
&nbsp;
You&rsquo;ll work with both frontier and open-source models, integrating them into scalable systems and adapting them for specialised tasks.
&nbsp;
What We're Looking For:
<ul>
<li>Experience building production software systems in AI &amp; data-intensive environments</li>
<li>Strong Python development skills</li>
<li>Experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or similar</li>
<li>Understanding of vector databases, embeddings, and semantic retrieval</li>
<li>Experience working with unstructured or noisy data pipelines</li>
<li>Strong written and verbal communication</li>
<li>Exposure to multi-agent AI systems</li>
<li>Bonus points for: experience working on tools supporting analysis, intelligence, or risk-related workflows</li>
</ul>
&nbsp;
Good fit? Apply today.
</div>
</div>
</div>
</article>
</div>
<div id="SALARY" class="jobs-details__salary-main-rail-card"></div>

Generative AI Engineer

We&rsquo;re hiring a&nbsp;Founding ML Researcher to join an early-stage AI company in San Francisco building document intelligence systems. This is a high-impact role within a small, talent-dense team, where early technical decisions will significantly influence the long-term direction and quality of the engineering organisation.
You&rsquo;ll be expected to work autonomously, take full ownership of complex ML systems, and drive ideas from initial research through to production deployment.
<h3 data-start="727" data-end="745">&nbsp;</h3>
<h3 data-start="727" data-end="745">What You&rsquo;ll Do</h3>
<ul data-start="746" data-end="1141">
<li data-start="746" data-end="853">
Shape the company&rsquo;s ML research roadmap and translate research into production-grade document AI models
</li>
<li data-start="854" data-end="952">
Own the full ML lifecycle: research &rarr; experimentation &rarr; training &rarr; evaluation &rarr; deployment
</li>
<li data-start="953" data-end="1042">
Partner closely with engineers to transition research into scalable, deployed systems
</li>
<li data-start="1043" data-end="1141">
Establish best practices around data quality, experimentation, evaluation, and model iteration
</li>
</ul>
<h3 data-start="1148" data-end="1174">&nbsp;</h3>
<h3 data-start="1148" data-end="1174">What We&rsquo;re Looking For</h3>
This is a research-heavy but product-focused role. You should be comfortable moving fluidly between theory, hands-on experimentation, and real-world deployment.
You&rsquo;ll ideally have experience in several of the following areas:
<ul data-start="1407" data-end="1829">
<li data-start="1407" data-end="1512">
Training and deploying state-of-the-art models for understanding unstructured or semi-structured data
</li>
<li data-start="1513" data-end="1622">
Experimenting with advanced techniques for layout-aware models and vision-language document understanding
</li>
<li data-start="1623" data-end="1733">
Building data pipelines, evaluating model performance, and integrating models into production environments
</li>
<li data-start="1734" data-end="1829">
Collaborating closely with leadership to influence product direction and technical strategy
</li>
</ul>
<h3 data-start="1836" data-end="1852">&nbsp;</h3>
<h3 data-start="1836" data-end="1852">Nice to Have</h3>
<ul data-start="1853" data-end="2090">
<li data-start="1853" data-end="1956">
PhD or equivalent research experience in computer vision, vision-language models, or related fields
</li>
<li data-start="1957" data-end="2005">
Publications at leading AI or ML conferences
</li>
<li data-start="2006" data-end="2090">
Experience with model serving, inference optimisation, or large-scale deployment
</li>
</ul>
<h3 data-start="2097" data-end="2124">&nbsp;</h3>
<h3 data-start="2097" data-end="2124">Compensation &amp; Benefits</h3>
<ul>
<li>Salary: $200k &ndash; $300k</li>
</ul>
<ul data-start="2125" data-end="2259">
<li data-start="2155" data-end="2180">
Equity: 0.1% &ndash; 1%
</li>
<li data-start="2181" data-end="2223">
Location: In-person, SF
</li>
<li data-start="2224" data-end="2259">
Visa: Sponsorship available
</li>
</ul>
&nbsp;
If you're interested, apply today or reach out to Adam@umatr.io

Founding ML Researcher

Location: Abu Dhabi, UAE (relocation package will be provided, details below)
Our client is a high-growth SaaS cybersecurity scale-up entering a critical transformation phase, evolving from a sales-led organisation into a truly product-led, market-driven business. They are hiring a VP of Product to own and drive product strategy, vision, and value delivery across their B2B platforms.
Reporting to the Chief Product &amp; Technology Officer, you will take full ownership of the product roadmap and operating model, ensuring customer insight, market demand, and platform scalability drive prioritisation and decision-making. This is a senior leadership role for a commercially minded product executive who can balance security, user experience, regulatory requirements, and long-term platform strategy while building and leading a high-performing product organisation.
<h3>Required Experience:</h3>
<ul>
<li>10+ years of product management experience</li>
<li>Senior leadership experience within B2B SaaS, Fraud, or the financial services sector</li>
<li>Proven ownership of product strategy, multi-year roadmaps, and commercial outcomes</li>
<li>Strong experience building and scaling enterprise-grade, highly available SaaS platforms</li>
<li>Partner to Engineering with a strong grasp of API-first, cloud-native platforms and platform trade-offs</li>
<li>Experience supporting enterprise GTM strategy, and ability to build, lead, and develop high-performing product teams</li>
<li>Experience building products for highly regulated industries (e.g. financial services, payments, gaming, airlines, e-commerce) adhering to regulatory frameworks (e.g. GDPR, PSD2/SCA)</li>
</ul>
<h3>What&rsquo;s in it for you?</h3>
<ul>
<li>Full ownership of product strategy during a pivotal, company-wide transformation</li>
<li>A seat at the table, shaping long-term platform vision and market positioning</li>
<li>Opportunity to lead product across highly complex, regulated, and mission-critical domains</li>
<li>Direct influence over how product, engineering, and go-to-market teams operate together</li>
<li>Relocation package includes:&nbsp;Visa, Health Insurance, Flights, and one-month accommodation (for you and your family)</li>
</ul>
<h3>Why the UAE?</h3>
Abu Dhabi is attracting top global technology leaders, offering an exceptional lifestyle with&nbsp;tax-free income, year-round sun, and a high standard of living. Ranked as the&nbsp;second safest country in the world, making it an ideal location for individuals and families seeking long-term stability and security. The UAE has become a major hub for innovation, driven by significant investment, ambitious digital transformation programmes, and access to international talent pools.
If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further.

VP of Product

Staff/Principal Rust Engineer (Open Source)
&nbsp;
I am searching for a Staff/Principal-level Rust Engineer to join a business who are on the cutting edge of developer tooling. Following their substantial Series B round, they are looking to continue bolstering their team to support the ongoing adoption of their product.
&nbsp;
They are recreating developer tooling from the ground up. No libraries, no frameworks, no clunky dependencies. All built from scratch in pure Rust. All open source.
&nbsp;
I am looking for an expert in the Rust programming language to join this talented and collaborative team. This is a rapidly scaling start-up that not only has great funding, but also a rapidly growing user base.
&nbsp;
Benefits
<ul>
<li>90th Percentile Salary</li>
<li>Work Life Balance (Unlimited PTO, Flexible Hours)</li>
<li>Comprehensive Health Insurance</li>
<li>Full Remote Work</li>
<li>Top Tier Hardware</li>
<li>Extensive Autonomy and Ownership</li>
<li>High Impact Work</li>
<li>Open Source, Visable Work</li>
<li>Annual Team Offsite</li>
</ul>
&nbsp;
Responsibilities
<ul>
<li>Design and develop highly reliable and performant systems</li>
<li>Ensure comprehensive test coverage</li>
<li>Contribute to architecture decisions</li>
<li>Solve complex problems</li>
<li>Cross-functional collaboration to ensure the best user experience</li>
<li>Ensure that your code is clean, efficient and maintainable</li>
<li>Focus on performance optimisation</li>
</ul>
&nbsp;
What we are looking for
<ul>
<li>Extensive Rust expertise</li>
<li>Strong experience working on large-scale distributed systems in production</li>
<li>Good understanding of computer science fundamentals</li>
<li>Exceptional problem-solving skills</li>
<li>Strong product mindset</li>
<li>A mix of the ability to work autonomously and collaboratively</li>
<li>Previous experience working in heavy paired programming environments</li>
<li>Previous experience working on SQL database performance</li>
</ul>
&nbsp;
Interested? Hit Apply!

Staff/Principal Rust Engineer (Open Source)

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&nbsp;
Title: Staff GenAI Engineer - Agents, RAG (Arabic Speaking)
&nbsp;
Tech Stack: 
Python | Transformers | RAG | Vector Search | LoRA/PEFT | LLM Orchestration | Cloud ML Deployment | LLM Evaluation | Distributed/Low-Latency Design
&nbsp;
What You&rsquo;ll Do: 
<ul>
<li>Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools</li>
<li>Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding</li>
<li>Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence</li>
<li>Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning</li>
<li>Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic &amp; English)</li>
<li>Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control</li>
<li>Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI</li>
<li>Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana)</li>
</ul>
&nbsp;
Who They Are: 
<ul>
<li>This company is building the future of commerce AI in the Middle East, powering millions of merchants with intelligent assistants and Gen AI that understands Arabic and English fluently. As our Senior/Staff GenAI, you'll architect the brain behind our merchant and customer AI assistants, content generation suite, and conversational commerce platform. This isn't just another chatbot role, you'll design cutting-edge agentic AI systems that can reason about inventory, write compelling Arabic marketing copy, troubleshoot merchant issues, and generate insights from millions of transactions. Your work will directly impact how merchants across the region run their businesses.</li>
</ul>
&nbsp;
Requirements: 
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a quantitative discipline</li>
<li>5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production</li>
<li>Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day</li>
<li>Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques</li>
<li>Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency-sensitive workloads</li>
<li>Commerce awareness: Familiarity with e-commerce metrics, merchant pain points, and marketplace platform dynamics</li>
<li>Communication: Comfortable translating complex ML systems into actionable insights for non-technical and leadership stakeholders</li>
<li>Marketplace / SaaS platform experience</li>
</ul>
&nbsp;
Benefits: 
<ul>
<li>High autonomy and ownership, real user impact at scale, fast career path into senior staff/principal, access to cutting-edge GenAI infra, strong compensation, and regional relocation support.</li>
<li>Competitive salary/package</li>
<li>Performance Bonus</li>
</ul>
&nbsp;
</div>
</div>
</div>
</article>
</div>
<div id="SALARY" class="jobs-details__salary-main-rail-card"></div>

Staff Gen AI Engineer

&nbsp;
About Us
UMATR are partnered with an early-stage AI startup building a next-generation interface for how people interact with computers. Cofounded by experienced AI and entrepreneurial leaders, our product enables users to describe an outcome and have an AI perform the workflow end-to-end. The system embeds a lightweight on-device presence to diagnose issues, execute remediations, and automate multi-step support workflows. This delivers clear value to enterprises and unlocks extensive productivity gains by reducing repetitive tasks and human intervention.
&nbsp;
About the Role
We are looking for a Founding Software Engineer to join as one of the earliest builders at a high-growth company. You&rsquo;ll have broad ownership over core product areas and work directly with the founding team to shape engineering and product direction. This role is ideal for someone who thrives in ambiguity, takes responsibility for outcomes, and ships software that users rely on daily.
&nbsp;
You Will
<ul>
<li>Own end-to-end development of core product areas: roadmap, specification, implementation, quality, rollout, iteration.</li>
<li>Collaborate directly with founders to set priorities and ship quickly.</li>
<li>Engage with customers to understand pain points, prototype solutions, and drive production outcomes.</li>
<li>Establish early engineering culture and technical standards.</li>
<li>Build scalable systems and internal tooling for a growing engineering team.</li>
</ul>
&nbsp;
Ideally You&rsquo;ll Have
<ul>
<li>2&ndash;7 years of production software engineering experience at a fast-growing company.</li>
<li>Strong CS fundamentals and full-stack development experience.</li>
<li>Experience building products from 0&rarr;1 and operating in production.</li>
<li>Proficiency in Python and/or JavaScript/TypeScript.</li>
<li>Comfort working in ambiguous, fast-paced startup environments.</li>
</ul>

Founding Engineer

Senior Forward Deployed Engineer - Enterprise AI
&nbsp;
We're supporting one of the fastest-growing global start-ups as they solve complex AI challenges for enterprise customers. With $120m+ raised within the first 18 months, we are looking to help them build an exceptional founding team here in Dubai.
&nbsp;
In this forward-deployed role, you&rsquo;ll partner directly with large organisations to implement AI solutions across voice, chat, email, and back-office workflows, tackling the toughest technical challenges and driving measurable impact.
&nbsp;
This isn&rsquo;t a role for everyone - it's for those that want to be embedded with clients when needed, helping them bridge gaps between existing infrastructure and cutting-edge AI capabilities.
&nbsp;
Experience as a FDE or similar is a must for this role.
&nbsp;
You'll not only receive a great salary, but you'll get real equity too. Our partner want to invest in people and give them a slice of the pie.
&nbsp;
What You&rsquo;ll Own:
<ul>
<li>Enterprise Integrations: Build and maintain custom services, pipelines, and connectors that link AI platforms with complex, often legacy, enterprise systems</li>
<li>AI Workflows &amp; Automation: Design advanced multi-channel AI interactions, including voice, chat, and email, tailoring solutions to meet unique client requirements</li>
<li>Client-Facing Leadership: Lead technical discussions, architecture sessions, and workshops with engineering teams and senior stakeholders, translating AI potential into actionable solutions</li>
<li>Operational Excellence: Ensure deployed systems are reliable, scalable, and maintainable; contribute to incident management and define operational standards for your deployments</li>
<li>Innovation Feedback Loop: Capture insights from client deployments, influence product strategy, and contribute reusable patterns and frameworks back to the AI platform</li>
</ul>
&nbsp;
What You Bring:
<ul>
<li>5+ years building and running production backend systems, ideally in enterprise or AI-focused environments.</li>
<li>Strong in TypeScript, Python, or Go; confident designing distributed systems and making architectural trade-offs</li>
<li>Experience connecting multiple systems via APIs, messaging frameworks, and secure authentication; comfortable working with both modern and legacy stacks</li>
<li>Exceptional communication skills with the ability to influence technical and business leaders</li>
<li>Capable to operate independently in complex environments, developing creative solutions with minimal guidance</li>
<li>Hands-on experience deploying AI solutions across multiple communication channels-voice, chat, email, and back-office systems</li>
<li>Strong experience designing and implementing custom integrations that connect AI platforms to complex enterprise environments</li>
</ul>
&nbsp;
Are you a good fit? Hit apply if so!

Senior Forward Deployed Engineer

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&nbsp;
Founding Engineer - Python or Rust &amp; Clickhouse
&nbsp;
About the Opportunity
&nbsp;
We&rsquo;re working with an early-stage startup on a mission to reimagine how analytical workloads are processed across large-scale systems. This is a unique opportunity to join as the first engineering hire and play a key role in architecting and building the core platform from scratch. You&rsquo;ll be solving complex data infrastructure challenges and working alongside experienced technical founders.
&nbsp;
Key Responsibilities
<ul>
<li>Design and implement foundational systems for processing and routing analytical workloads</li>
<li>Build internal tools and infrastructure for benchmarking and performance evaluation</li>
<li>Lead decisions on architecture, data integrity, and system scalability</li>
<li>Contribute to shaping engineering practices, culture, and future team growth</li>
<li>Operate across the stack where needed, with a focus on backend and systems work</li>
</ul>
&nbsp;
What We're Looking For
<ul>
<li>6+ years of backend or infrastructure engineering experience</li>
<li>Deep understanding of systems architecture and performance considerations</li>
<li>Proven experience building scalable and reliable infrastructure or data platforms</li>
<li>Familiarity with cloud environments and large-scale data processing</li>
<li>A proactive mindset and comfort working in high-autonomy environments</li>
</ul>
&nbsp;
Nice to Have (Not Required)
<ul>
<li>Exposure to distributed computing, query systems, or compiler theory</li>
<li>Experience working as a founding engineer or in early-stage startups</li>
<li>Interest in optimizing performance across modular compute environments</li>
</ul>
</div>
</div>
</div>
</article>
</div>
<div id="SALARY" class="jobs-details__salary-main-rail-card"></div>
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Founding Engineer - Python or Rust & Clickhouse

Founding Engineer &ndash; Platform &amp; Infrastructure
&nbsp;
About the Opportunity
&nbsp;
An early-stage startup is seeking a Founding Engineer to lead the design, build, and maintenance of its cloud platform. This foundational role offers the chance to architect and develop all cloud infrastructure and systems from the ground up.
&nbsp;
&nbsp;
Key Responsibilities
<ul>
<li>Design and implement core infrastructure components, including service meshes, traffic management, and observability tools.</li>
<li>Develop and manage applications within cloud environments using container technologies.</li>
<li>Utilize infrastructure-as-code tools to automate deployment and management processes.</li>
<li>Oversee operating system issues, storage solutions, networking configurations, and high-availability clusters.</li>
<li>Build and support CI/CD platforms, automate infrastructure needs, and maintain systems through patching, upgrades, and monitoring.</li>
<li>Scale infrastructure on distributed systems to meet growing demands.</li>
</ul>
&nbsp;
What We're Looking For
<ul>
<li>Strong experience in platform and infrastructure engineering, with a background in DevOps practices.</li>
<li>6+ years of relevant experience in the field.</li>
<li>Proficiency in programming languages such as Python, Rust, or C++.</li>
<li>Experience deploying and managing container orchestration platforms.</li>
<li>Knowledge of cloud infrastructure and networking principles.</li>
</ul>
&nbsp;
Nice to Have (Not Required)
<ul>
<li>Familiarity with modern data storage formats and data engineering practices.</li>
<li>Experience with cloud data warehouses and related technologies.</li>
</ul>
&nbsp;
Why Join?
<ul>
<li>Opportunity to be a core part of an early-stage team with significant ownership and impact.</li>
<li>Work on technically challenging projects in a fast-paced environment.</li>
<li>Influence architecture and product decisions from the outset.</li>
<li>Competitive salary with meaningful equity.</li>
</ul>

Founding Engineer - Platform & Infrastructure

Would you like to contribute?

We're excited to connect with companies interested in bringing Engineers together - whether at your office or under your brand. If you're also keen to speak at one of our events or contribute a blog post, we'd love to hear from you.

<h3>We helped many Software &amp; ML Engineers find their next role</h3>

Blogs covering a wide range of topics, including effective hiring strategies, in-depth interview tips for both candidates and employers, and the latest news, trends, and insights from the industry to keep you informed and ahead of the curve!

<h3>Would you like to contribute?</h3>

<h3>Companies previously hosted with</h3>

We organise and host meet-ups with companies that bring together professionals, fostering networking and knowledge-sharing opportunities. These events create a platform for collaboration, where like-minded individuals and companies can connect and grow together.

As a global tech recruitment agency, we connect talent with companies, helping businesses find the perfect fit for their teams while fostering a sense of community.

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<h3>The Stats</h3>

As an evolving matter, we're here from the start, uniting people and driving progress together.

<h2>Event Feedback</h2>

Our thorough screening and matching techniques ensure that we present only the most suitable candidates, allowing clients to find the right fit quickly and efficiently.

<h3>Get in touch today</h3>

The stats demonstrate our impressive growth and collaboration with companies since our founding in 2021.

Our thorough candidate screening process ensures that we present only the best-fit talent for your needs, streamlining your hiring process without compromising on quality.

By carefully matching candidates with the right roles and fostering strong relationships, we ensure that both clients and candidates thrive together for the long term.

We've adopted other recruiting methods by building communities both online and offline. Our broad network is further strengthened through sponsoring conferences, hosting meetups globally, and leveraging referrals, allowing us to reach diverse talent that may not engage with traditional platforms.

We provide relocation packages to make the process of moving for a new role as seamless and stress-free as possible. By supporting candidates with the resources they need to settle into a new location, we help them focus on their career growth while ensuring our clients gain access to top talent from across the globe. It&rsquo;s our way of fostering successful, long-term matches that benefit both candidates and employers.

communities and meet-ups groups created

With expert teams specializing in various tech stacks, we will connect you with professionals who have in-depth market knowledge. Our goal is to link top talent with leading companies.

<h3>Relocation guides</h3>

<h2>Every Number Has a Story</h2>

<h2>Experience in everything from scaling Fortune 500 companies to building the coolest and most innovative start-ups</h2>

<h3>Shortening the time to hire to just 15 days</h3>

<h3>96% candidate retention for 12+ months</h3>

<h3>17% of our placements do not have or use a LinkedIn account</h3>

4:1 ratio on candidates introduced to hire for permanent roles, and 2:1 for contract positions.

From startups to global giants, our clients trust us for our tech expertise, industry insights, and personal touch. We&rsquo;re all about building long-term relationships by getting results and staying in tune with each client&rsquo;s evolving needs.

Our team brings a wealth of experience across various industries, catering to different needs and levels. We leverage our expertise to navigate diverse challenges and deliver impactful solutions.

Our extensive global network, combined with deep local market knowledge, allows us to source top talent from diverse regions while understanding local hiring dynamics. This blend of global reach and local expertise ensures that we deliver the best candidates for your needs.

We are more than just recruiters

We operate across 34 countries

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Leading companies that have previously hosted with us include industry innovators and top employers, each benefiting from direct engagement with the community.&nbsp;
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</div>

<h3>Want to host, or want to speak at one of our events?</h3>

Host a Scala, Rust, AI, or Product event with us and draw hundreds of professionals to your office. Your logo will be highlighted in our promotions, and you&rsquo;ll get a speaker slot to showcase your latest project&mdash;an ideal way to spark interest in joining your company and to position your brand at the center of the community as a tech house!

We are committed to supporting the Software, Data &amp; AI communities by creating and organising in-person meetups, round tables, and online hubs. We aim to build meaningful relationships and create spaces for knowledge-sharing -&nbsp; making a positive impact and contributing to a vibrant, thriving environment for everyone.

<h3>Event Feedback</h3>

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With expert teams specializing in various tech stacks, we will connect you with professionals who have in-depth market knowledge. Our goal is to link top talent with leading companies.
</div>
</div>
</div>
</div>

Looking to find your next career opportunity or hire top talent? We're here to help! Whether you're seeking advice, have questions about our recruitment services, or want to discuss job openings, our team is ready to assist you.

We understand the value of community, which is why we've created a space where you can discover events organised by us as well as conferences, meetups, and networking opportunities hosted by others in your industry. Stay connected, exchange ideas, and grow alongside like-minded professionals.

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<h2>The best way to predict the future is to bring together the people who will build it.</h2>

<h3>Experience in everything from scaling&nbsp;Fortune 500 companies to&nbsp;building the coolest and most innovative start-ups.</h3>

<h3>The best way to predict the future is to bring together the people who build it</h3>

<h1>Your go-to Software Recruiters in 34 Countries</h1>

We&rsquo;re committed to going the extra mile for our partners&mdash;literally.&nbsp;Whether it means traveling 19 hours to meet in person or leveraging our global network and deep local market knowledge, we ensure we understand both the unique hiring needs and the local dynamics. This personal approach helps us connect clients with the best talent, no matter where they are.

We are a specialist recruitment agency dedicated to the Software, Data &amp; AI - with expertise in Scala, Rust, and Machine Learning. Our mission is to connect exceptional talent with innovative companies while nurturing the thriving communities we operate in. Through events, meetups, and our online platforms, we bring together developers to share knowledge, collaborate, and drive growth - empowering the ecosystems built around these technologies.

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We&rsquo;re more than recruiters. We are career builders and partners in business success.
</div>
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</div>
</div>
</div>
</div>
</div>

<h3>Start hiring</h3>

UMATR is your go-to Tech Talent Partner - and we believe that the best way to predict the future is to bring together the people who will build it.

<h2>Apply Today</h2>

We offer incentive trips, international client visits, and attend numerous conferences worldwide. So far, we&rsquo;ve explored 17 cities&mdash;some of them more than once!

Our office is located in Dubai Hills, where we've acquired and renovated a spacious 2,500 sq ft space. But no matter where you are in the world, we&rsquo;re ready to bring our team together! If you&rsquo;re considering making a big life change, check out our relocation guide&mdash;and get ready for an exciting journey.

This is your chance to be part of an exciting journey and play a significant role in building something special. If you&rsquo;re ambitious, eager to grow, ready to listen and trust the process, and excited to take your recruitment career to the next level, let&rsquo;s talk!

Check out our latest podcasts and conferences around the world.

<h3>Podcasts</h3>

<h3>Benefits</h3>

<h3>Countries visited</h3>

<h3>Our Team</h3>

<h3>Relocation packs</h3>

<h3>Growth plan</h3>

Our people are everything. UMATR was built with the purpose of creating a platform we always desired ourselves, which is exactly where our name comes from - 'You Matter.' We are committed to providing you the tools, the platform, and support system required to achieve your goals. How far you want to go is up to you.

<h3>We are more than just recruiters</h3>

<h3>With big plans for the future, we&rsquo;re here to help you unlock your full potential, push the limits, and achieve the goals that others might not believe are possible.&nbsp;</h3>

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A amet ultrices fusce venenatis. Vel massa quam suspendisse ullamcorper nibh. Ullamcorper auctor nisi tempor vel tellus. Nibh ut rutrum pulvinar mattis ornare dignissim.

Explore our collection of blogs and resources, where we share insights, expert advice, and industry trends, upcoming event and lots more to keep you informed and ahead of the curve in the world of Software, Data &amp; AI.

We collaborate with companies to facilitate the hosting of over 100 Rust engineers at their offices, enabling discussions and providing insights into their workplace culture.

We are a dedicated Rust recruitment agency passionate about building and fostering a vibrant Rust community.
&nbsp;
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If you're interested in contributing by hosting a meet-up or providing blog or video content for Rust Matters, please fill out the form below to start a conversation.

A vault for everything Rust. Exclusive training materials, blogs, jobs, events and much more.

<h2>Candidate Feedback</h2>

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We collaborate with companies to facilitate the hosting of over 100 Scala engineers at their offices, enabling discussions and providing insights into their workplace culture.
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We are a dedicated Scala recruitment agency passionate about building and fostering a vibrant Scala community.

events in Europe, Middle East,&nbsp;and USA

of attendees are Senior-Level Engineers

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If you're interested in contributing by hosting a meet-up or providing blog or video content for Scala Matters, please fill out the form below to start a conversation.
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<h3>The Stats</h3>

Shaping the future of scala, bringing people together worldwide

<h3>What our candidates say</h3>

<h3>Software, AI, and Data Engineers&mdash;Placed Across the Globe</h3>

Our goal is to strive for excellence in everything we do. We are committed to setting high standards and continuously improving our services to ensure that we achieve the best possible outcomes for our clients and candidates.

Communities created for Software Engineers, and Product Managers

<h6>To inspire confidence and spark creativity. To provide custom-fit recruitment solutions to suit teams at any growth stage.&nbsp;</h6>

To inspire confidence and spark creativity. To provide custom-fit recruitment solutions to suit teams at any growth stage.

Contact us and we will discuss different hiring plans, personalised just for you and your company.

<h2>Relocation guides</h2>

<h1>Every Number Tells a Story</h1>

<h3>We excel in connecting exceptional talent with forward-thinking companies, while actively nurturing an engaged community.</h3>

<h3>We have set out to do things differently</h3>

<h3>Need to hire fast in a niche community?</h3>

<h3>Have some serious plans to scale and need some support with the heavy lifting?</h3>

<h3>Have some serious plans to scale and need some support with the heavy lifting?</h3>

We combine award-winning recruitment expertise with a community-driven approach, connecting top talent across the Software, Data &amp; AI sectors to innovative companies globally. We&rsquo;ve become a trusted recruitment partner across Europe, the USA, and the MENA region.

We're more than tech recruiters - we go beyond traditional hiring by building lasting relationships, delivering tailored solutions, and driving the growth of individuals, businesses, and Software, Data &amp; AI community.

what makes us different

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Hi, I&rsquo;m Conor, Senior Consultant at UMATR, specialising in Data &amp; AI recruitment across the USA.
I work closely with early-stage startups and high-growth tech companies to build exceptional teams across machine learning, artificial intelligence, data science, and data engineering. My focus is on partnering with founders and hiring teams to secure top-tier talent&mdash;from founding engineers through to senior and leadership-level AI and data specialists.
With a strong network across the US tech ecosystem, I help ambitious companies scale their engineering and data functions with speed and precision, while connecting candidates with impactful roles at the forefront of AI and data innovation.
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Conor Davis

Hi, I&rsquo;m Saffron, a Consultant at UMATR specializing in Data &amp; AI recruitment across the USA.
I partner with high-growth startups and scaling tech companies to build world-class teams across machine learning, artificial intelligence, and data engineering. From founding engineers to senior AI talent, I focus on connecting innovative businesses with the people driving the future of data-driven technology.
With a strong understanding of the US tech market and the evolving AI landscape, I help companies hire faster and smarter&mdash;while supporting candidates in finding impactful roles in cutting-edge Data &amp; AI environments.

Saffron Aherne

Nicole Bandtock

Hi, I&rsquo;m Jude, a Consultant at UMATR specialising in Software Engineering recruitment across the USA, with a strong focus on Rust hiring.
I partner with startups and scaling tech companies to help them build high-performing engineering teams across backend, systems, and infrastructure roles. My core focus is connecting ambitious businesses with exceptional software engineers who thrive in complex, high-performance environments - particularly those working with Rust.
From early-stage startups to fast-growth tech companies, I work closely with founders and engineering leaders to deliver top-tier talent that can scale products, improve systems, and drive real technical impact.

Jude Rushford

Hi, I&rsquo;m Reuben, a Consultant at UMATR specialising in AI and Data contracting recruitment across Europe.
I support startups, scale-ups, and enterprise tech companies in hiring high-impact contract talent across artificial intelligence (AI), machine learning (ML), data science, data engineering, and analytics. My focus is on helping businesses scale their AI and data teams quickly and efficiently by connecting them with experienced contractors who can deliver immediate value on complex, time-sensitive projects.
With a strong network across the European technology market, I work closely with hiring managers and engineering leaders to secure specialist AI and data contractors with expertise in Python, machine learning models, data pipelines, cloud platforms, and modern data infrastructure.
I&rsquo;m passionate about enabling organisations to move faster in competitive markets by providing flexible, high-quality AI and data contracting solutions across Europe.

Reuben Ashton

Hi, I&rsquo;m Oisin, a Consultant at UMATR specialising in Software Engineering recruitment across the USA, with a particular focus on Rust talent.
I partner with startups and scaling tech companies to help them hire high-performing software engineers across backend, systems, and infrastructure roles. My niche lies in supporting teams building with Rust, connecting them with engineers who care deeply about performance, reliability, and modern systems design.
From early-stage startups to fast-growing engineering teams, I work closely with founders and hiring managers to find software talent that can truly move the needle - especially in complex, high-performance environments where Rust is becoming a key advantage.

Oisin Scanlon

Nathan Davis

Hi, I&rsquo;m Zach, a Consultant at UMATR specialising in AI and Data contracting across Europe.
I work with startups, scale-ups, and enterprise tech companies to provide high-quality contract talent across artificial intelligence (AI), machine learning (ML), data science, data engineering, and analytics. My focus is on helping teams scale quickly and flexibly by connecting them with experienced contractors who can deliver immediate impact on critical data and AI projects.
With a strong network across the European tech market, I support hiring managers and engineering leaders in securing specialist AI and data contractors with expertise in Python, machine learning systems, data pipelines, cloud infrastructure, and modern data platforms.
I&rsquo;m passionate about enabling businesses to move faster in competitive markets by delivering flexible, high-calibre AI and data contracting solutions across Europe.

Zach Stevens

Hi, I&rsquo;m Cameron, a Consultant at UMATR specialising in Software, Data, and AI recruitment across Saudi Arabia.
I partner with forward-thinking startups, scale-ups, and enterprise tech teams to help them build high-impact engineering and data functions in one of the fastest-growing tech markets in the world. My focus spans software engineering, data science, machine learning, and AI, supporting companies as they scale innovation-led teams across the region.
I also help organisations navigate Saudisation requirements, ensuring hiring strategies align with local nationalisation goals while still attracting and retaining world-class technical talent.
With a strong understanding of the Saudi Arabian tech landscape and Vision 2030-driven growth, I connect ambitious organisations with top-tier talent who can deliver real impact in software, data, and AI.

Cameron Rogerson

Since joining UMATR I&rsquo;ve had the pleasure of speaking with many incredible candidates and collaborating with some fantastic clients across Dubai, AbuDhabi and Saudi. With over five years of experience in the tech industry and a passion for all things AI, ML and Software, I stay on top of the latest trends by attending industry events and diving deep into research. My goal? To help you find the perfect talent that matches your tech needs! 👩🏼&zwj;💻 I&rsquo;m all about building long-lasting relationships and take a friendly, people-first approach to recruiting. This means smoother hiring processes, quicker placements, and less turnover for you. Plus, I&rsquo;m always up for a coffee to chat about opportunities!☕️☕️☕️ How can I help? 🤝🏼A fully managed process that enhances the candidate experience, boosts offer acceptance, and reduces dropouts. 🧠Offer valuable insights to help you easily navigate the talent market. 🌍Access to an extensive network that includes top-tier, passive candidates. 🔐Expert headhunting to secure highly skilled candidates, avoiding direct competition. 💰Salary guidance to help you manage budgets and reduce attrition for new hires. ✉️ hannah@umatr.io

Hannah Lowe

Hi! I&rsquo;m Adam, a Consultant at UMATR specializing in Data &amp; AI recruitment in the USA, with a focus on founding engineers, seed-stage startups, and early-stage tech companies.
Over the past three years, I&rsquo;ve partnered with AI startups and data-driven companies across the United States to build founding engineering teams, supporting businesses from seed stage to scale.
I focus on connecting ambitious founders with exceptional founding engineers, machine learning engineers, AI engineers, and data engineers - people who don&rsquo;t just write code, but help shape product, culture, and technical direction from day one.
I help seed-stage and venture-backed startups in the USA make critical early hires, including Python engineers, AI talent, and data specialists, setting the foundation for long-term success.
At UMATR, I work closely with some of the most exciting AI and data companies in the US, helping them hire top-tier Data &amp; AI talent and founding engineers.
If you&rsquo;re hiring founding engineers in the USA, building a Data or AI team, or exploring Data &amp; AI opportunities in the United States - let&rsquo;s talk.

Backend Product Engineer

Adam Howe

AI Engineer

Frontend Engineer

Senior Platform Engineer

Senior Software Engineer - Java