About this role
Salary: £54,000 - 94,000 per year
Requirements: Bachelors or Masters degree in Computer Science, Engineering, or a related field with 4+ years of hands-on ML/AI engineering experience, or a PhD with relevant experienceStrong Python development skills with proven backend engineering experienceHands-on experience building agentic or LLM-powered applications beyond simple prototypesKnowledge of API design, asynchronous processing, testing, debugging, and production reliabilityExperience with Azure or AWS cloud environments and related servicesFamiliarity with agent workflows, orchestration patterns, and tool-calling techniquesExperience integrating MCP or building RAG-based solutions with quality evaluation mechanismsUnderstanding of evaluation methodologies for AI systems such as golden datasets and automated testsProficiency in telemetry, logging, and observability tools for production systemsAbility to work in cross-functional client engagement teams delivering enterprise solutionsExperience using AI development tools such as Claude Code, OpenAI Codex, or GitHub CopilotExposure to Azure AI Search, Azure Application Insights, Amazon Bedrock, or other cloud AI servicesFamiliarity with Microsoft 365 Agents SDK, Copilot SDK, or enterprise Copilot extensionsKnowledge of AI safety practices, guardrails, and secure execution for AI workflowsPrior consulting or client-facing experience in enterprise AI solution delivery Responsibilities: Design and implement AI solutions, focusing on agentic workflows and backend engineeringBuild backend services and APIs in Python using frameworks such as FastAPI or similarDevelop orchestration patterns for agentic workflows, including intent classification, tool calling, routing, and supervisor/worker flowsCreate and maintain AI tools and skills with clear interfaces, testing, and secure executionConfigure and integrate MCP servers and clients for enterprise-grade agent connectivityDevelop RAG-based solutions, including GraphRAG and Agentic RAG, aligned with client requirementsWork with agent frameworks and SDKs such as Pydantic AI, LangGraph/LangChain, or Microsoft Agent FrameworkDefine evaluation strategies for agentic systems using automated and human-in-the-loop methodsImplement telemetry and observability solutions to monitor performance and qualityLeverage AI-assisted tools such as Claude Code, OpenAI Codex, or GitHub Copilot to accelerate development Technologies: Agentic AIAIAPIAWSAzureBackendClaude CodeCloudCopilotFastAPIGitHubLLMMCPMicrosoft 365PythonRAGOffice 365 More:
We are looking for a Senior AI Engineer – Agentic AI & Backend to join our team in London, United Kingdom in a hybrid working mode. This role is part of EPAMs Data & AI Practice and focuses on building practical AI solutions that move clients from concept to production-ready systems. You will work across sectors such as Financial Services, CPG, and Retail, helping design and implement AI-powered workflows and backend services that deliver measurable business outcomes. This position offers an opportunity to work on innovative AI technologies, backend architectures, and real-world agentic systems in enterprise environments.
last updated 36 week of 2026