26 to 27 of 27 Retrieval-Augmented Generation Jobs in Manchester

autonomy to build and shape the AI function as your own. What You'll Do Lead the design and deployment of a market-leading RAG conversational agent, working with a large, complex proprietary dataset. Partner with product managers, content managers and senior stakeholders to design, develop, deploy and optimise state … user requirements. Optimise LLMs, datasets and agent workflows to the highest quality standards, detecting and mitigating hallucinations and output errors. Deploy and maintain RAG architecture and LLM pipelines within cloud environments. Optimise data-chunking and text embeddings for optimal semantic search across a large, specialist corpus. Track the competitive landscape ...

operate hands‐on where needed. Proven experience leading teams of Principal Engineers and Architects in complex environments. Strong understanding of AI integration patterns (e.g. RAG, embeddings, vector databases), cloud‐native architectures, and scalable distributed systems. Experience overseeing AI‐enabled product capabilities at scale. Proven ability to drive high standards … software architecture patterns, including microservices, event‐driven systems, and cloud‐native design. Strong understanding of AI/ML concepts and integration approaches, including LLMs, RAG architectures, vector databases, and responsible AI practices. Expertise in scalable platform design, performance optimisation, and distributed systems used by high‐volume, global user bases. Solid ...