Forward Deployed Engineer (Perm, UK, Remote + Travel)

This is a full-time, permanent opportunity for candidates based in the UK. This position also requires some travel to client sites within Europe , with travel expenses covered by the company . About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart. About the role As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks. What we are looking for in this person: Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience. Experience designing and building agentic platforms using Python and modern AI frameworks. Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies. Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making. Design and deploy Retrieval-Augmented Generation (RAG