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AI Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-10-17
Listing for:
Experis
Full Time
position Listed on 2026-10-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer, Azure
Job Description & How to Apply Below
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.
- Strong Python software engineering experience
- Hands‑on experience developing GenAI / LLM applications
- Hands‑on experience designing and implementing Agentic AI workflows
- Experience with Lang Graph
- 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.
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