Artificial Intelligence Engineer

AI Engineer — Series A enterprise AI startup (London) Most AI deployments fail for the same reason: the model doesn't know how *your* company actually works. I'm hiring for an elite team solving exactly that. They build agents that learn an enterprise's processes - ingesting knowledge bases, conversations, tickets and system logs, then producing instructions agents can execute, with confidence scoring that decides when to automate and when to hand back to a human. This role sits on that core learning system. What you'd actually be doing: → Extending the core context learning library — ship with a customer first, then generalise it back into the platform → Designing LLM-powered systems and agentic workflows from prototype to production → Building agents that can autonomously edit and maintain large knowledge bases → Owning the reliability layer: evals, confidence scoring, automate-vs-escalate logic → Architecting async systems for complex AI orchestration → Working directly with enterprise customers, not through a ticket queue What they're looking for: → 3+ years professional experience, with production LLM systems you can talk through in real engineering detail → Hands-on with agents and autonomous systems → Genuine interest in how systems improve over time — human-in-the-loop feedback, prompt optimisation, context engineering → Comfortable moving between a research paper and a production codebase → Able to explain your work to engineers and customers alike Bonus points for scaling LLM workflows to millions of requests, multi-agent systems in production, or building evaluation frameworks for enterprise deployments. The culture: small, deeply technical team, high hiring bar, and problems that often have no known solution. Engineers are expected to bring direction, not wait for it.