Start searching
Back to Jobs
Recently postedTemporary/CasualTechnology

Senior AI Engineer - Agentic AI - Inside IR35

Hamilton BarnesLondon🇬🇧United Kingdom

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationLondon, United Kingdom
DockerMicroservicesMLOpsLLMPythonGenerative AIRESTAzureKubernetesPrompt EngineeringLangGraphRAG

Job description

Location: London, UK

Contract: 12 months
Rate: £500 per day
Working arrangement: Hybrid, with one day per week in the office

The role

We're seeking a Senior AI Engineer to help deliver innovative solutions for a leading UK retailer. You'll design and build production-ready agentic AI systems that support digital transformation and improve customer experiences.

You'll work with modern AI, cloud and event-driven technologies to build secure, scalable and high-performing solutions. You'll also work closely with solution architects, product teams and stakeholders to turn business needs into practical AI services.

What you'll do

  • Design and develop agentic AI systems that can reason, plan and take actions across multi-step workflows.
  • Build scalable AI applications and microservices using Python.
  • Develop solutions with Azure OpenAI, including prompt engineering, embeddings and fine-tuning strategies.
  • Create multi-agent orchestration workflows using Semantic Kernel and LangGraph.
  • Integrate tools, APIs and enterprise systems using MCP or similar frameworks.
  • Design RAG architectures, memory, state management and context-aware agent behaviours.
  • Improve the performance, cost and latency of LLM-based solutions.
  • Set technical standards and best practices for AI services and integrations.
  • Define evaluation, governance, security and responsible AI approaches.
  • Support production deployments, troubleshooting and ongoing service improvements.

What you'll bring

  • Strong proficiency in Python and software engineering.
  • Hands-on experience designing and delivering multi-agent AI solutions.
  • Experience building and productionising RAG and LLM-based solutions.
  • Ability to design complex orchestration workflows and tool integrations.
  • Experience building scalable AI microservices and supporting them in production.
  • Knowledge of vector databases, embeddings, semantic search, and relational or NoSQL databases.
  • Experience with REST APIs, Docker, Kubernetes, and MLOps or LLMOps.

Essential technologies

  • Azure OpenAI
  • Azure AI Foundry
  • Semantic Kernel
  • LangGraph
  • Model Context Protocol (MCP)
  • Azure AI Search
  • Python
  • Event-driven architectures

Similar jobs

Apply