1 of 1 Retrieval-Augmented Generation Jobs in Berkshire

Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate … production-ready code. Hands-on experience building and deploying LLM/GenAI solutions in production not just POCs or notebooks. Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models . Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety ...