AI Engineer - Agentic AI & Back End

EPAM Systems, Inc.; Greater London; Hybrid; GBP 100,000 - 150,000; Full time

Benefits offered by this job

EPAM ESPP

Private medical insurance

Dental care

Pension plan

Cyclescheme/Season ticket loans

Lunch in-office & massages

Job summary

EPAM Systems, Inc. in London is seeking a Senior AI Engineer – Agentic AI & Backend. You will design and implement agentic AI solutions and backend services, building APIs with Python (FastAPI) and orchestrating workflows.

You’ll work across enterprise clients to deliver production-ready systems and measurable outcomes, leveraging Azure/AWS and leading AI frameworks. The role combines backend engineering with agentic innovations in a hybrid work setting.

Qualifications

• 4+ years hands-on ML/AI engineering experience.
• Strong Python backend development experience.
• Experience with agentic/LLM-powered applications beyond prototypes.
• Knowledge of API design, asynchronous processing, testing and production reliability.
• Experience with Azure or AWS cloud 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 (Pydantic AI, LangGraph/LangChain, 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.

Skills

Python backend

Backend engineering

Agentic workflows

LLM-powered apps

API design

Asynchronous processing

Testing & reliability

Telemetry & observability

Cloud environments (Azure/AWS)

Evaluation methodologies

Education

Bachelor's degree in Computer Science or Engineering

Master's degree in Computer Science or related field

PhD with relevant experience

Tools

FastAPI

LangChain/LangGraph

Pydantic AI

Microsoft agent platforms

MCP server/client

Claude Code / OpenAI Codex / GitHub Copilot

Job description

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.ResponsibilitiesDesign 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 platformsDefine 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 developmentRequirementsBachelor’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 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 solutionsNice to haveExperience 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 deliveryWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program