151 to 153 of 153 Retrieval-Augmented Generation Jobs in London

users ranging from highly technical teams to more non technical stakeholders Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms Partnering with a solutions consultant … commercial experience building and deploying AI or LLM powered systems into production Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches Experience working with modern data platforms and warehouses such as Snowflake or BigQuery Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J ...

product team work: prioritisation, sprint planning, feedback loops, release management, post-launch reviews, and clear trade-off calls. • Shape our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production — from a product and customer-value angle. • Embed Ignitus into the flow … offs. • Experience leading technical projects or teams, even if you were not the direct line manager. • Comfort working with AI products, LLM-powered experiences, RAG, vector databases, or complex data-driven products — and the curiosity to go deep where needed. • Excellent product execution skills: prioritisation, roadmap management, specs, release planning ...

Inside IR35) Scope of work : The consumption layer that determines how agents query and use the graph. RESPONSIBILITIES Defines tool-calling schemas, RAG pipelines, and context strategies. Builds hallucination guardrails and agent evaluation harnesses. Integrates the graph with enterprise agentic platforms. KEY SKILLS LLM integration RAG architecture Tool/function ...