Job Title

Applied AI Engineer | London I am working with a fast growing AI company building an enterprise grade AI workspace used by major financial institutions to produce and validate client ready work. The platform replaces complex manual workflows with automated AI systems that scale across global teams and has grown rapidly with backing from top tier investors.This role is for engineers who want to build and ship production systems.You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale.What you will doBuild and deploy backend services and APIs, Python preferred using Django or FastAPIProductionise AI features including RAG, agent orchestration, and evalsCreate data pipelines for training, evaluation, and continuous improvementEnsure performance, reliability, and security across the stackWork closely with founders, engineers, and product teamsWhat we are looking forFive plus years of software engineering experienceProven experience deploying AI applications into productionStrong backend engineering skills and database fundamentalsExperience with cloud infrastructure, Docker, Kubernetes, and CI CDBackground workers, task queues, and Redis experienceFamiliarity with LLM evaluation, monitoring, and safetyDegree from a Russell Group university or equivalent top tier academic background, or alternatively extensive engineering expertise with clear, relevant production experienceThis is a demanding, in office environment with high ownership, shifting priorities, and strong technical standards. You will work directly with founders who have built and exited venture backed companies.If you are an Applied or Agentic AI Engineer looking for real ownership and the chance to build core systems from the ground up, this is worth a conversation.