Generative AI Engineer

RJC Group

LLM EngineermidLondon Area, United KingdomonsitefulltimeSoftware Development and Financial ServicesRAG servicesLangGraphLangChainLlamaIndexCrewAIPythonOpenAI APIAWS Bedrockposted 11 Sep
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GenAI Engineer - London - £140k + bonus

RJC Group are currently partnered with a Major Financial Services company based in London, looking for a GenAI Engineer to join their growing AI team.

This is an exciting opportunity to work with cutting-edge technology, define AI standards and directly interact with the business.

What you'll do

  • Build RAG services: document ingestion, parsing, chunking, indexing, retrieval, reranking, context assembly
  • Develop shared platform capabilities for LLM applications, agentic systems and enterprise knowledge solutions
  • Define reference architectures, engineering standards and implementation patterns for GenAI applications
  • Design agentic workflows that safely interact with internal APIs, databases, search systems and third-party services
  • Set standards for tool contracts, structured outputs, context management, prompting, model selection and routing
  • Build reusable components, APIs and libraries for other engineering teams
  • Evaluate LLM, retrieval and agent performance via automated metrics, test datasets and regression testing
  • Guide decisions on model quality, latency, cost, observability and operational resilience

What we're looking for

  • Track record delivering LLM-based applications or AI platforms in production
  • Foundation-model APIs/platforms — OpenAI, Anthropic, Google Vertex AI, AWS Bedrock
  • Python-based API/service development, ideally with async frameworks
  • Agent frameworks and orchestration tools — LangGraph, LangChain, LlamaIndex, CrewAI, or similar
  • LLM evaluation, observability, tracing and regression testing
  • Prompt management, model routing, structured-output generation
  • Cloud deployment and containerised production AI service
  • Strong software engineering fundamentals across the full production lifecycle
  • Degree in computer science, ML, AI, data science, math, stats or related field — or equivalent experience

Apply below with an up-to-date CV to set up an initial confidential discussion