AI Engineer - Agentic AI & Back End

We’re 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 EPAM’s 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.

Responsibilities

• Design and implement AI solutions, focusing on agentic workflows and backend engineering

• Build backend services and APIs in Python using frameworks such as FastAPI or similar

• Develop orchestration patterns for agentic workflows, including intent classification, tool calling, routing and supervisor/worker flows

• Create and maintain AI tools and skills with clear interfaces, testing and secure execution

• Configure and integrate MCP servers and clients for enterprise-grade agent connectivity

• Develop RAG-based solutions, including GraphRAG and Agentic RAG, aligned with client requirements

• Work with agent frameworks and SDKs such as Pydantic AI, LangGraph/LangChain or Microsoft Agent Framework

• Define evaluation strategies for agentic systems using automated and human-in-the-loop methods

• Implement telemetry and observability solutions to monitor performance and quality

• Leverage AI-assisted tools such as Claude Code, OpenAI Codex or GitHub Copilot to accelerate development

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or PhD with relevant experience).

• Strong Python development skills with proven backend engineering experience

• Hands-on experience building agentic or LLM-powered applications beyond simple prototypes

• Knowledge of API design, asynchronous processing, testing, debugging and production reliability

• Experience with Azure or AWS cloud environments and related services

• Familiarity with agent workflows, orchestration patterns and tool-calling techniques

• Experience integrating MCP or building RAG-based solutions with quality evaluation mechanisms

• Understanding of evaluation methodologies for AI systems such as golden datasets and automated tests

• Proficiency in telemetry, logging and observability tools for production systems

• Ability to work in cross-functional client engagement teams delivering enterprise solutions

Nice to have

• Experience using AI development tools such as Claude Code, OpenAI Codex or GitHub Copilot

• Exposure to Azure AI Search, Azure Application Insights, Amazon Bedrock or other cloud AI services

• Familiarity with Microsoft 365 Agents SDK, Copilot SDK or enterprise Copilot extensions

• Knowledge of AI safety practices, guardrails and secure execution for AI workflows

• Prior consulting or client-facing experience in enterprise AI solution delivery

• EPAM Employee Stock Purchase Plan (ESPP)

• Protection benefits including life assurance, income protection and critical illness cover

• Private medical insurance and dental care

• Employee Assistance Program

• Competitive group pension plan

• Cyclescheme, Techscheme and season ticket loans

• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events

• Learning and development opportunities including in-house training and coaching, professional certifications, and courses

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program