AI Engineer - Agentic AI & Back End

EPAM Systems; Greater London; On-site; GBP 54,000 - 94,000; Full time

Job summary

EPAM Systems in London, United Kingdom, is seeking a Senior AI Engineer – Agentic AI & Backend to design and implement scalable AI solutions focused on agentic workflows and robust backend engineering.

You will build backend services and Python APIs (FastAPI), develop orchestration patterns for agentic workflows, and collaborate with cross-functional teams delivering enterprise AI solutions.

Qualifications

• Bachelor's or Master's in CS/Engineering with 4+ years ML/AI experience, or a PhD with relevant expertise.
• Strong Python backend development experience.
• Experience building agentic or LLM-powered applications beyond prototypes.
• Knowledge of API design, async processing, testing, and production reliability.
• Experience with Azure/AWS cloud environments and 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.
• Experience using AI development tools such as Claude Code, OpenAI Codex, or GitHub Copilot.
• Exposure to Azure AI Search, Azure Application Insights, 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.

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

Skills

Python development

Backend engineering

Agentic AI

Cloud platforms

API design

Observability

AI evaluation

AI safety

Education

Bachelor's or Master's in CS/Engineering with 4+ years ML/AI experience or PhD

Tools

FastAPI

LangChain

Pydantic AI

Claude Code

OpenAI Codex

GitHub Copilot

Azure AI Services

Copilot SDK

MCP

Job description

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 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
• 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

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

Technologies:

• Agentic AI
• AI
• API
• AWS
• Azure
• Backend
• Claude Code
• Cloud
• Copilot
• FastAPI
• GitHub
• LLM
• MCP
• Microsoft 365
• Python
• RAG
• Office 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