326 to 337 of 337 Retrieval-Augmented Generation Jobs in the UK excluding London

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 ...