LLM Engineer​/AI Engineer - Cheshire

The Role

You will:

• Design, build and deploy LLM-driven features into live products and platforms
• Work with both commercial and open-source LLMs
  , selecting the right model for each use case
• Build and optimise RAG pipelines
  , embeddings and vector-based retrieval solutions
• Develop APIs and services that integrate LLMs with existing AI, data and platform systems
• Optimise solutions for performance, reliability, latency and cost
• Collaborate with engineering, AI and product teams to identify and deliver high-value use cases
• Ensure all solutions meet security, compliance and data governance standards

Essential

• Proven experience deploying LLMs in production
• Strong Python development skills
• Hands‑on experience with:
• Prompt engineering and evaluation
• Retrieval‑Augmented Generation (RAG)
• Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)
• Experience building LLM‑backed services using FastAPI / Flask or similar
• Strong understanding of trade‑offs around accuracy, latency, cost and scalability

• Experience working with or fine‑tuning open‑source LLMs
• Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning)
• Experience integrating LLMs into complex or data‑heavy systems
• Docker and Linux experience
• Background in regulated, industrial or safety‑critical environments

• Pragmatic, delivery‑focused and comfortable working with ambiguity
• Able to translate complex AI concepts into practical solutions
• Confident owning problems end‑to‑end, from idea through to deployment
• Motivated by building AI that has real‑world impact

• High‑impact role with real ownership
• Opportunity to shape how LLMs are used in production environments
• Work on meaningful, technically challenging problems
• Collaborative engineering culture within a scaling business

Interested? Please Click Apply Now! LLM Engineer / AI Engineer Cheshire