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 queueWhat 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 alikeBonus 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.