326 to 341 of 341 Retrieval-Augmented Generation Jobs in the UK excluding London

requirements into practical architecture designs, delivery plans and technical guidance for engineering teams. Develop AI-powered assistants, intelligent agents and workflow automation solutions using RAG and advanced orchestration approaches. Key Skills & Experience Proven experience delivering AI-centric solutions within cloud environments. Extensive experience with using AWS-focused platforms. Hands … expertise building AI agents, agentic systems, RAG architectures and AI assistants. Strong stakeholder management and engagement skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences. Experience with AI platforms including AW Bedrock, Azure AI Foundry or Google Vertex AI. Why Apply? Competitive salary ...

governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. … including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design ...

Foundry, Agent Framework and Microsoft IQ. Designing and implementing multi-agent workflows, including human-in-the-loop patterns and agentic orchestration. Creating robust RAG solutions using vector databases, Foundry IQ and agentic retrieval techniques. Developing predictive machine learning models with Azure Machine Learning to support forecasting, operational performance … maintainability. Hands-on experience, or a strong interest, in Microsoft AI technologies such as AI Foundry, Agent Framework, Azure Machine Learning, vector search and RAG architectures. Knowledge of responsible AI practices, observability, evaluation frameworks and human-in-the-loop design patterns. The ability to work closely with both technical ...

products, architecture and future AI roadmap. What you'll do Build AI-powered features within existing C#/.NET products Develop LLM solutions using RAG, agentic workflows and Azure AI Take ideas from proof-of-concept through to production Help shape technical decisions and the wider AI strategy Improve … moved beyond experimenting with AI and can demonstrate something you've genuinely delivered into production. Experience with Azure OpenAI, Azure AI Search, RAG, Semantic Kernel, vector databases or Python-based AI tooling would be particularly valuable. What's in it for you? Up to £70,000 plus bonus Mostly remote ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...

strategy, roadmap and architecture. Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation and implementation guidance. Drive internal … responsible AI practices. Key Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured data, APIs, search ...

strategy, roadmap and architecture. Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation and implementation guidance. Drive internal … responsible AI practices. Key Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured data, APIs, search ...

will build scalable components, integrate with enterprise systems, and implement secure AI practices within a modern cloud-native stack. The role focuses on RAG architectures, vector databases, embeddings, and retrieval optimization, with emphasis on observability, governance, and reusable code assets. Collaborative, cross-functional work is expected. #J ...

need of a Python engineer to support a customer with building an AI Chatbot using Python and LlamaIndex. Key Technologies: Python 3.12+ LlamaIndex/RAG Azure AI Foundry/OpenAI Typesense/Vector Search PostgreSQL/Pydantic Plotly Dash Key Duties: Develop and enhance production-grade Python AI applications … chatbot capabilities. Build and improve RAG pipelines, retrieval and document search. Extend LlamaIndex agents, workflows, retrievers and tool-calling capabilities. Integrate LLMs, APIs, databases and structured organisational data. Improve AI answer quality, citations, performance, security and reliability. Deliver well-tested, documented code and support technical handover. Key Requirement ...

practical AI architectures and technical solutions Owning solution design from initial requirements through to delivery Architecting agentic AI systems using model APIs, orchestration frameworks, RAG and retrieval patterns Making informed decisions between different models, platforms, low-code solutions and custom development Designing integrations, APIs, data pipelines … Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure and Microsoft 365 Python ...

models including OpenAI, Anthropic and Gemini • Shape agentic AI architectures, including multi-agent systems, tool calling, orchestration and human-in-the-loop approaches • Design RAG, vector database, semantic search and enterprise knowledge solutions • Support technical proposals, solution estimates and customer presentations • Contribute to architecture governance, security, responsible AI and technical … data, analytics or digital transformation • Practical understanding of generative AI and selecting appropriate models for enterprise use cases • Experience designing agentic AI and RAG-based solutions • Strong API-led and event-driven architecture knowledge • Experience integrating modern solutions with enterprise platforms and services • Confidence discussing architecture trade-offs with both ...

powered features within a modern C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams … APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest in Applied AI and solving real-world product ...

focus on AWS and AWS Bedrock, working across business, technology and engineering teams. What you'll be doing Design and deliver Agentic AI, GenAI, RAG and AI-powered assistant solutions. Architect autonomous and multi-agent systems using AWS Bedrock, Lambda, Step Functions and related services. Work with frameworks such …/Agentic AI. Proven experience delivering production-grade AI agents or multi-agent solutions. Strong AWS experience, ideally including Bedrock. Hands-on experience with RAG and agentic AI frameworks. Excellent stakeholder, consulting and communication skills. Insurance or financial services experience desirable. If you're an experienced architect looking to work ...

early stage.Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing evaluation frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership … product from 0 to 1 Experience owning architecture, product decisions, and implementation Strong backend engineering experience with API-first products Hands-on experience with RAG and production AI systems Understanding of token usage, model evaluation, and cost optimisation Ability to operate autonomously in a startup environment Strong communication and stakeholder ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...