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RemoteTemporary/CasualTechnology

AI Engineer

ExperisLondon🇬🇧United Kingdom

Why this role stands out

This remote AI Engineer role offers an exciting opportunity to design and build cutting-edge GenAI and Agentic AI products, leveraging your strong Python and LLM expertise. You'll thrive in this position if you have hands-on experience with RAG, agentic workflows, and prompt engineering, contributing to innovative AI-enabled applications within a collaborative team.

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeRemote
LocationLondon, United Kingdom
LLMPythonRedisVaultGenerative AIAzurePrompt EngineeringLangGraphRAG

Job description

AI Engineer
Rate: 600 - 644
Clearance required: BPSS + SC
Nationality requirement: UK Passport Holder
Location: Remote (on-site once a month)
Job Description:
The AI Engineer role will be responsible for working within a Product squad to design, build and deliver GenAI and Agentic AI products.
The individual must have hands-on experience developing production-grade GenAI/Agentic AI solutions using LLMs, RAG and agentic workflow technologies. The role requires strong Python software engineering skills alongside practical experience designing reliable, secure and maintainable AI-enabled applications.
Skills required

  • Strong Python software engineering experience
  • Hands-on experience developing GenAI / LLM applications
  • Hands-on experience designing and implementing Agentic AI workflows
  • Experience with LangGraph
  • Strong understanding of LLM workflow design, including state, routing, tools, structured outputs and human-in-the-loop patterns
  • Practical experience designing and implementing RAG architectures
  • Experience with document ingestion, chunking, embeddings and vector/semantic search
  • Experience with prompt engineering and structured LLM outputs
  • Experience with AI/LLM evaluation, testing and quality assurance
  • Understanding of guardrails, grounding, hallucination mitigation and AI assurance
  • Experience building and integrating APIs and backend services
  • Strong understanding of software engineering principles, automated testing, code review and maintainable application design
  • Experience handling LLM and agent failure scenarios, retries, error handling and recovery
  • Understanding of observability and tracing for GenAI/Agentic AI applications
  • Azure AI & Cloud Services: Hands-on experience building and deploying AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault.

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

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