Senior AI Software Engineer (Applied AI & Distributed Systems)
π New York, USA
π° $200,000 - $300,000
About the Company
We're partnering with a fast-growing technology company building intelligent software for some of the world's most advanced engineering environments. Their technology supports complex, data-intensive operations where performance, reliability and precision are critical. They're now expanding their AI engineering capabilities and looking for a Senior AI Software Engineer to help build an entirely new generation of intelligent engineering tools.
About the Role
This isn't a role where you'll be handed a specification and told what to build. You'll work on zero-to-one AI products, experiment with new approaches and take ideas from early prototypes through to production. You'll have the freedom to influence what gets built, make technical decisions and work directly with the people using your software.
Responsibilities
- Build production AI systems, including agent infrastructure, retrieval pipelines, evaluation frameworks and intelligent workflows.
- Develop AI-powered engineering tools that help users investigate anomalies, identify root causes and analyse complex system behaviour.
- Work with large-scale datasets, including time-series data, telemetry, logs and operational information.
- Design scalable backend infrastructure to support reliable, production-ready AI applications.
- Take ideas from zero to one, rapidly prototyping, testing and improving solutions based on customer feedback.
- Influence product and engineering decisions, helping identify which technical problems to solve and how to approach them.
- Collaborate directly with customers to understand real-world challenges and turn them into practical software solutions.
Required Skills
- 5+ years of software engineering experience, including experience building AI or machine learning products deployed in production.
- Strong software engineering fundamentals, particularly in backend development, distributed systems or data-intensive applications.
- Experience working with large datasets, time-series data, data infrastructure or ML systems.
- Hands-on experience developing and deploying AI-powered applications.
- Experience taking products from early-stage ideas through to production.
- Comfortable working in ambiguous environments, making technical decisions and taking ownership.
- Strong problem-solving skills and an interest in understanding real customer challenges.
Preferred Skills
- AI agents, LLM applications, RAG, retrieval pipelines or evaluation frameworks.
- Telemetry, observability platforms or time-series databases.
- Robotics, aerospace, autonomous systems, industrial technology or other hardware-related environments.
- Experience working in early-stage startups, founding engineering teams or new product development teams.
Apply with your CV, or get in touch to learn more about the company, the projects and what they're looking to build.