AI Product Engineer
LB782
Posted: 20/10/2026
- £80,000 - £110,000
- London Area
AI Product Engineer
We're working with an ambitious AI startup building a new generation of intelligent software that changes how engineers interact with complex technical systems.
They're looking for an exceptional AI Product Engineer who can turn cutting-edge AI capabilities into intuitive, reliable products. This is a high-ownership role for someone who thrives on ambiguity, builds quickly, and loves shipping things people actually use.
What You'll Do
- Build and ship AI-native products using LLMs, VLMs, and agentic workflows.
- Design intelligent agents that reason, use tools, and interact with real-world systems.
- Own features end-to-end, from React/TypeScript interfaces to Python backends and model integrations.
- Solve challenging problems around structured generation, model reliability, evaluation, and orchestration.
- Work directly with customers to understand problems, prototype solutions, and iterate rapidly.
- Shape how users interact with AI in complex engineering environments.
What We're Looking For
- Strong software engineering fundamentals with experience building and shipping full-stack products.
- Hands-on experience developing LLM-powered applications beyond basic API wrappers.
- Understanding of agent architectures, tool calling, RAG, structured outputs, and model evaluation.
- Proficiency in Python, TypeScript, and React.
- Ability to turn ambiguous requirements into working products with minimal direction.
- Strong product instincts, technical curiosity, and a bias toward shipping.
Bonus Points
- Experience with multimodal AI, VLMs, fine-tuning, or human-in-the-loop systems.
- Background in engineering software, CAD, geometry, or other technically complex products.
- Experience as a founding engineer or early technical hire at a fast-moving startup.
Why Join?
- Build at the intersection of frontier AI and real-world engineering.
- Own meaningful product decisions from day one.
- Work on challenging, unsolved problems with a highly technical team.
- Move fast, experiment freely, and see your work reach customers.
Working model: Hybrid — 3 days in-office, 2 days remote.
Anna Heneghan
Head of Machine Learning & AI Recruitment