Salary: £61,000 - 101,000 per year Requirements: Strong Python engineering experience with production-grade systems Hands-on with LLM-powered applications and agent orchestration frameworks (e.g., LangGraph) Experience with stateful systems, caching, and reliability engineering Proficiency in FastAPI, Docker, and Redis Comfortable in a small, senior, high-impact team Responsibilities: Scale multi-step reasoning workflows and optimize agent collaboration Benchmark and extend toolchains within the agent framework Optimize LLM integration, latency, and cost efficiency Strengthen Redis-backed persistence and ensure system consistency Build regression frameworks and implement monitoring and tracing Technologies: AI Docker FastAPI LLM Python Redis LESS Machine Learning More: We are a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. In this hands-on role, you will focus on scaling, hardening, and refining a graph-based agent engine as it moves toward global production. We offer hybrid working in Central Cambridge, excellent benefits, and a discretionary bonus. Join our small, senior, high-impact team and influence architecture decisions on a strategic next-gen AI platform. last updated 14 week of 2026