Salary: £? - ? per year Requirements: Strong Python engineering experience Experience with LLMs, AI agents, and agentic reasoning patterns Experience with FastAPI and REST API development Experience with RAG and prompt engineering Knowledge of Kubernetes and containerisation Exposure to MCP or similar AI tooling frameworks Ability to work across platform and product engineering teams Experience building production-quality AI systems in an enterprise environment Responsibilities: Design and build MCP servers, AI tools, orchestration workflows, and secure API integrations Expose enterprise systems safely to LLM-powered agents Contribute to agent planning and tool-calling frameworks Develop and improve RAG architecture Enhance the developer experience for internal AI platform adoption Support the scaling of enterprise-grade agentic AI capabilities across the organisation Collaborate with platform and product engineering teams to deliver secure, scalable AI infrastructure Technologies: AI API FastAPI Support Kubernetes LLM Python REST More: We are a central AI engineering function building and scaling enterprise-grade agentic AI capabilities across a global organisation. Our team owns the core AI enablement platform used internally to support AI agents, orchestration workflows, knowledge retrieval, and secure tool integration at scale. We offer a highly engineering-focused environment that combines platform thinking with hands-on AI delivery. This role is based in London with three days a week onsite, and offers the opportunity to shape the future of enterprise AI infrastructure within a large-scale, modern engineering environment focused on governance, scalability, and production-quality AI systems. last updated 21 week of 2026