826 to 850 of 859 Retrieval-Augmented Generation Jobs in the UK

with cross-functional teams to translate strategic priorities into robust technical implementations. You will work on cutting-edge AI technologies, including LLMs, retrieval-augmented generation, and orchestration, ensuring reliability, security, and cost efficiency across #J-18808-Ljbffr ...

pitches and proposals. Technical Delivery & Innovation Familiarity and experience with AI concepts and techniques, such as large language models, machine learning, or Retrieval-Augmented Generation models. Experience or desire to grow capability in using AI to support insight workflow optimisation or automation, looking ...

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 ...

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 ...

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 ...

engineering and C-suite leadership teams Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed … engineers Basic Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider pipelines. ...

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 ...

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 ...

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 ...

required format and quality, and use the results to improve the solution. Partner with engineering and AI specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs. Design human-in-the-loop controls for cases where AI confidence, safety risk, or operational … workflow automation, decision support, diagnostics, or intelligent self-service. Strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, and AI observability. Fluency with evals: defining what good output looks like, building eval sets to check that outputs meet the required format and quality ...

least 8+ years of product management experience Do you have a wealth of e xperience with AI/ML products, especially generative AI, RAG, or agentic workflows Join us to shape how researchers build on their own knowledge with AI.Location: UK (London) or Amsterdam. Remote-first with periodic in-office … project spaces. We're looking for a Senior Product Manager with deep product judgment, hands-on experience with AI/ML products (generative AI, RAG, or agentic workflows), and the instinct to work from customer evidence alongside data science. UK (London) or Amsterdam ; remote -first with periodic in-office collaboration.About ...

building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. As an AI Product Manager at the AI for Operations team, you will leverage your … through execution and launch Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks Great communication skills Preferred Qualifications Advanced degree in Computer Science, engineering, or related field Proven track record of delivering and launching successful ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider ...

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 ...

capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People … Basic Qualifications Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Some expertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Strong experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider ...

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 ...

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 ...

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 ...

that connect Claude and other LLM platforms with enterprise systems. You will own delivery from discovery to governance, lead workshops, and implement agentic workflows, RAG, and responsible AI. #J-18808-Ljbffr ...

software Experience building with LLMs, AI agents or agent frameworks — professionally or through serious personal projects An understanding of concepts such as tool calling, RAG, agent orchestration, context management or multi-agent systems Strong problem-solving ability and the desire to work on technically difficult, ambiguous problems The ability … technology is heading are very much encouraged to apply. What you’ll get in return Cutting-edge AI: Work directly on the next generation of AI software rather than simply consuming existing models Technical ownership: Have a genuine say in how the company's agent architecture evolves Hard ...

building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world’s largest bank. As an AI Product Manager at the AI for Operations team, you will leverage your … through execution and launch Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks Great communication skills Preferred Qualifications Advanced degree in Computer Science, engineering, or related field Proven track record of delivering and launching successful ...

driving delivery with customers. Hands-on experience designing, building, and deploying custom AI solutions to production. Strong experience with agentic AI, LLM-based workflows, RAG, and enterprise integrations. Experience preparing and structuring enterprise data for AI use cases, including unstructured and semi-structured data. Solid understanding of AI governance, security … looking for passionate, talented, and motivated people to join us as we empower organizations to build, deploy, and scale the next generation of enterprise software. While we are leading the charge into the agentic era, our mission is broader: we are the platform enterprise leaders trust to evolve ...