AI Engineer

AI Engineer * Leading UK Retailer * London (Hybrid Working) * 12 Months * Inside IR35 This is an exciting opportunity to play a key role in shaping and delivering next generation AI capabilities within a large scale…

Inside IR35 Hybrid IT
Pay rate £500/day
Contract type Contract
Posted 28 October 2026

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About this contract

AI Engineer

* Leading UK Retailer

* London (Hybrid Working)

* 12 Months

* Inside IR35

This is an exciting opportunity to play a key role in shaping and delivering next generation AI capabilities within a large scale retail environment.

Role Responsibilities

* Design and develop Agentic AI solutions capable of multi-step reasoning, planning, and autonomous action execution.

* Architect multi agent systems, orchestration patterns, and scalable AI microservices.

* Build AI applications using Python and Azure OpenAI technologies.

* Develop RAG architectures and integrate vector search solutions.

* Implement orchestration workflows using Semantic Kernel and LangGraph.

* Integrate enterprise systems, APIs, and tools using MCP and similar frameworks.

* Establish AI governance, security, safety, and responsible AI practices.

* Lead the implementation and deployment of AI services into production environments.

* Collaborate with architects, product teams, and business stakeholders to deliver AI driven solutions.

* Optimise performance, scalability, cost, and latency of LLM based applications.

Experience Required

* Proven experience designing and delivering production grade AI and Generative AI solutions.

* Strong expertise in Azure OpenAI, Azure AI Foundry, Azure AI Search, Semantic Kernel, and LangGraph.

* Experience building multi agent architectures, RAG solutions, and complex orchestration workflows.

* Strong Python development skills with experience building scalable microservices.

* Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks.

* Experience with event driven architectures, REST APIs, Docker, Kubernetes, MLOps, and LLMOps.

* Solid understanding of vector databases, embeddings, semantic search, and relational/NoSQL databases.

* Experience defining AI governance frameworks, coding standards, and best practices.

* Ability to troubleshoot and support AI solutions in production environments

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