2 of 2 Remote Retrieval-Augmented Generation Jobs in Yorkshire

competencies, success in this role hinges on specific, hands-on experience in the following areas: Generative AI Applications: Demonstrable experience designing, building, and deploying applications leveraging Generative AI techniques. RAG Pipelines: Deep understanding and practical experience in developing and optimising Retrieval-Augmented Generation (RAG) pipelines. GenAI Frameworks: Hands-on experience with key frameworks such … APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience utilising Knowledge Graphs (Neo4j preferred) as part of AI architectures, as part of modern RAG systems. Highly Desirable: Experience building B2C applications (e.g., chatbots), exploring Agentic AI patterns. What can we offer you? Freedom to help, plan and lead AI/ML architecture decisions in More ❯

object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based More ❯