Senior AI Engineer
Senior AI Engineer (s) - Abu Dhabi (on-site) - Insane AI Start-Up π«
**This job is not for those that want to just get by - we need builders - those who will work day-in-day-out to build the world's best AI employees**
**We need people who live and breathe the work they deliver - willing to around the clock on-site in a young, hungry, entrepreneurial environment**
**Strong backend engineering experience is a must**
This role & company is next level. Our client is building a world-leading AI Employee that is making waves around the world. Their AI workers can think, speak, and act, reshaping how enterprises operate at their core. As they rocket through hyper-growth over the next month, we need elite engineers who can keep pace with their vision.
What You'll Get
- Equity
- Relocation support
- Competitive salary (truly competitive)
- Young, hungry, entrepreneurial environment - the team lives and breathes the business. Everyone is viewed as a co-founder
The Role
You’ll help build the brain, voice, and senses of AI agents - systems that respond instantly, converse naturally, and take action in enterprise workflows. This means building low-latency, multimodal AI systems that combine large language models, speech, vision, and real-time streaming into a single seamless experience.
What You’ll Do
- Architect and implement AI services in Python, spanning NLP, speech, and vision
- Develop real-time communication pipelines using WebRTC to stream voice/video between AI agents and end-users with minimal delay
- Design and optimize large-scale NLP/LLM inference and multimodal AI integrations
- Integrate speech-to-text, text-to-speech, and video-based perception into interactive AI agents
- Build and scale stateful AI agent systems capable of reasoning, decision-making, and executing enterprise actions
- Ensure high reliability, scalability, and low latency in distributed AI deployments
- Mentor peers and uphold engineering excellence in a fast-paced environment
What You Bring
- 6+ years in software engineering (think Rust, Scala, C++), with a track record of delivering AI/ML in production
- Expert in Python and strong experience with: PyTorch, TensorFlow, or JAX
- Hands-on with Large Language Models (LLMs) — training, fine-tuning, or large-scale inference
- Ideal if you have knowledge in Natural Language Processing (NLP) using Hugging Face Transformers, spaCy, or similar
- Skilled in real-time streaming technologies, including WebRTC, gRPC streaming, WebSockets, or related protocols
- Familiarity with speech technologies such as Whisper, DeepSpeech, Vosk, or commercial APIs
- Nice to have: Computer vision experience using OpenCV, torchvision, or multimodal embedding techniques
- Experience with infrastructure & orchestration tools such as Docker, Kubernetes, Airflow, or Kafka
- Strong grasp of distributed systems design for low latency, scalability, and reliability
Are you ready to give everything to build the next best AI Employee?
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