26 to 35 of 35 Retrieval-Augmented Generation Jobs in the North West

Important Client) profiles against property attributes to surface hyper-relevant travel recommendations. Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability ...

Important Client) profiles against property attributes to surface hyper-relevant travel recommendations. Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability ...

Important Client) profiles against property attributes to surface hyper-relevant travel recommendations. Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability ...

Important Client) profiles against property attributes to surface hyper-relevant travel recommendations. Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability ...

What We're Looking For Must-Haves: 4+ years experience writing production ready code for machine learning systems 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+ Experience with production optimisation for RAG systems, including latency ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Face APIs) into internal tools and customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. Develop prompt chains and prompt strategies for specific business functions (engineering assistance, product support, operational efficiency). Collaborate with cross … search tools. Experience building internal tooling or developer productivity enhancements using AI. Exposure to customer support AI tools or RAG (retrieval augmented generation) systems. Why Join Paydock? Work with a passionate, remote-first team that's reshaping payments. Opportunity to lead and define ...

deployment. Deep knowledge of RAG Experience processing high volumens of documentation/text Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents). Experience conducting applied research and converting experimental outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

moving environment Immediate impact: Your code will run in production and support real users from day one. Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system. Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you'll do Obsessive … productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows. ...