AI Engineer - Agentic AI & Back End

Location: Greater London

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, Lang Graph/Lang Chain or Microsoft agent platforms

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 Git Hub Copilot to accelerate development

Requirements

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 Git Hub 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

We offerEPAM 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 Cycle scheme, 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