AI Engineer - Agentic AI & Back End

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