LLM Engineer

New Today

Job Description

LLM Engineer – Retrieval & Knowledge Systems

Remote (London, UK – Hybrid Option Available)

AI | LLMs | Knowledge Systems


About the Role

We’re looking for an LLM Engineer to design and deploy retrieval-augmented generation (RAG) systems powering intelligent applications used in enterprise and research environments.

This role goes beyond prompt engineering — you’ll work on end-to-end LLM systems, including retrieval pipelines, embeddings, and scalable inference.


Key Responsibilities

  • Design and implement RAG architectures (retrieval + generation pipelines)
  • Work with vector databases and embedding models
  • Optimise LLM performance, latency, and cost
  • Build evaluation frameworks for model quality and relevance
  • Integrate LLM systems into production environments


Required Skills & Experience

  • 4+ years in AI / ML engineering
  • Strong Python
  • Experience with LLMs and generative AI systems
  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Experience building production AI systems


Nice to Have

  • Experience with LangChain / LlamaIndex or similar frameworks
  • Knowledge of fine-tuning or prompt optimisation strategies
  • Experience with large-scale document or knowledge systems


Why Join?

  • Work on state-of-the-art LLM systems in production
  • High ownership in a rapidly evolving AI domain
  • Hybrid flexibility in a major AI hub (London)
Apply
Location:
City Of London
Job Type:
FullTime
Category:
Technology

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