8 of 8 Remote/Hybrid Retrieval-Augmented Generation Jobs in Berkshire

systems in production environments, including performance tuning and cost optimization. Design and build Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, and semantic search. Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools … multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Practical experience with RAG architectures, embeddings, vector databases, and semantic search. Experience working with Model Context Protocol (MCP) Servers. Experience with RESTful APIs and integrating external services. Solid understanding ...

cloud‐native delivery approaches Curiosity about AI‐enabled systems and how they scale responsibly Experience with LLMs, AI agent orchestration, or tools such as RAG, vector databases or LangChain is a bonus, but not essential. What's in it for you Flexible hybrid working 25 days leave, 2 days paid ...

API. Proven track record of delivering production software on client-facing projects, ideally within a consultancy or professional services environment. Experience with prompt engineering, RAG architectures, or agentic AI development at scale. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Strong experience with Azure cloud ...

working closely with engineering, cloud and security teams to define practical controls and secure-by-design patterns. This will include areas such as LLMs, RAG, AI agents, vector databases, prompt injection, data leakage, identity, tool/API integration and AI threat modelling, alongside broader cloud and enterprise security architecture. ...

complex or ambiguous cross-functional operational challenges where requirements are not fully formed. Understanding of AI concepts (e.g. prompt engineering, retrieval ‐ augmented generation). Experience with system integration, APIs and data connectivity. Strong stakeholder engagement skills, with the ability to translate technical solutions into ...

across a large enterprise. You will drive security architecture, enforce secure-by-design patterns and collaborate with engineering, cloud and security teams on LLMs, RAG, AI agents and data flows. The role is hybrid with bases in London or Reading. Visa sponsorship is available for candidates currently living ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their ...