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Senior AI Engineer - Agentic AI & Backend

Hybrid in London·Added 13 days ago (last checked 12 Oct)

EPAM

102 open roles

Overview

Job details

  • Hybrid

    Office and home days — the ad has the split.

Benefits

  • Cycle to work and season ticket loan

    Commuter benefits named in the ad.

Requirements

  • Be near London for hybrid days

    No relocation package mentioned.

  • Have 4+ years of experience

    Senior-level role.

Skills

Requirements

What we're looking for

  • 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

Pay & benefits

What you'll get

  • 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

*All benefits and perks are subject to certain eligibility requirements

The role

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.

What you'll do

  • 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

Hiring process

3 steps3 interviews
  1. Apply

  2. Conversation with Talent Acquisition

    With a Talent Acquisition Specialist

    An introductory conversation with a Talent Acquisition Specialist.

  3. Technical interview

    Video call

    An online technical interview.

  4. Interview with the hiring manager

    With a hiring manager

    A general interview with the hiring manager.

  5. Offer

  • The block is a template on EPAM location pages; the Spain page itself does not show it.

About EPAM

Industry
IT Services
Founded
1993
Employees
50,000–100,000
Headquarters
Newtown, USA
Website
epam.com
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