376 to 400 of 400 Retrieval-Augmented Generation Jobs in the UK

that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills …/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior ...

/Agents Engineer (Anthropic + OpenAI) Build production agents on Anthropic + OpenAI direct. RAG, structured extraction, tool-use, evals. ABOUT THE ROLE Our Agents service line builds custom agents on Anthropic Claude and OpenAI direct — not a chatbot wrapper, not a per-resolution rebrand. We replace per-resolution agent …/month workload before deploying. NICE TO HAVE Open‐source contributions to LangChain, LlamaIndex, Anthropic SDK, Instructor, or DSPy. Public writing on agent/RAG architecture. Experience with regulated‐industry deployments (legal, healthcare, financial). #J-18808-Ljbffr ...

Experience working with full-stack applications -JavaScript/TypeScript, Python (Java is a bonus). Experience working with AI technologies from Agentic systems, to RAG/CAG, LLM applications. Experience with cloud ecosystems (GCP, Azure, AWS) Good understanding of enterprise architecture, security and business processes. Comfortable engaging directly with customers … adoption at scale. If you're a senior engineer who enjoys solving difficult problems, working closely with customers, and building the next generation of AI-powered solutions, we'd love to hear from you. Apply now for a confidential conversation. ...

into scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate AI solutions into existing … engineers and support technical decision-making What we’re looking for Strong software engineering background with production AI experience Python experience Experience with LLMs, RAG and AI application development Azure and cloud infrastructure experience Understanding of APIs, DevOps and scalable systems Experience influencing technical direction and mentoring engineers This ...

development, staging, and production environments Build and improve CI/CD pipelines Deploy backend, frontend, and AI services Operate infrastructure for AI agents and RAG workflows Manage PostgreSQL, Redis, object storage, and networking Improve monitoring, logging, and alerting Strengthen security, IAM, secrets, and backups Troubleshoot production issues Define operational standards … Strong PostgreSQL administration experience Experience building CI/CD pipelines (GitHub Actions or similar) Experience operating managed cloud services Experience supporting AI agent or RAG infrastructure is a plus Strong knowledge of cloud security, IAM, TLS, and secrets management Pragmatic mindset with a strong sense of ownership Excellent communication ...

when supporting clients in a Consulting capacity, and have a background as a strategic consultant.Translate AI into business value – Turn advanced capabilities (GenAI, LLMs, RAG, copilots, agentic systems) into clear, actionable strategiesEngage and influence executives – Build trusted relationships with senior and C-suite stakeholders to shape decisions and outcomesDrive commercial … Services) as a strategic consultant who has delivered several project life cycles.Technical Knowledge - Hands-on or applied experience with:Generative AI (LLMs, prompt engineering, RAG, copilots, multimodal AI)Agentic AI (autonomous agents, multi-agent workflows, tool integration)Broad strategic knowledgeScaling AI Experience - Experience designing and implementing enterprise AI operating models ...

supporting clients in a Consulting capacity, and have a background as a strategic consultant.* Translate AI into business value – Turn advanced capabilities (GenAI, LLMs, RAG, copilots, agentic systems) into clear, actionable strategies* Engage and influence executives – Build trusted relationships with senior and C-suite stakeholders to shape decisions and outcomes … strategic consultant who has delivered several project life cycles.* Technical Knowledge - Hands-on or applied experience with:* Generative AI (LLMs, prompt engineering, RAG, copilots, multimodal AI)* Agentic AI (autonomous agents, multi-agent workflows, tool integration)* Broad strategic knowledge* Scaling AI Experience - Experience designing and implementing enterprise AI operating models, including ...

work includes:\* Building and operating LSEG AI Assist, an in‐house agentic experience capable of reasoning, planning, and tool‐calling.\* Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.\* Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability … Ability to translate complex AI/ML designs into clear documentation. \* Knowledge of enterprise architecture principles (security, cloud, data, resilience). \* Familiarity with LLM, RAG, and agentic system architectures and risks. \* Strong stakeholder management and communication skills across technical and non-technical audiences.**Career Stage:**Manager**London Stock Exchange Group ...

passionate about shaping how organisations deploy and scale AI? I'm supporting a leading business in the Insurance Sector as they build next-generation AI and integration capabilities across their enterprise. You'll work at the intersection of GenAI engineering, cloud architecture, and enterprise integration, helping define … What you'll be doing Designing and deploying AI-enabled solutions across cloud environments. Leading on GenAI orchestration (LangChain, Autogen, Google ADK). Architecting RAG pipelines, vector database integrations, and prompt management strategies. Building guardrail frameworks to prevent hallucinations, injection and bias. Designing API-first and event-driven architectures. Influencing ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Several years experience ...

startup environment where you’re building the process alongside the product What will make your CV stand out: Experience with LLM/RAG pipelines in production (embeddings, vector search, retrieval quality measurement) Familiarity with Autodesk Platform Services/AEC data formats (IFC, Revit, ETABS, SAFE, or similar) Experience … across the full stack: a Node/TypeScript backend API, a React frontend, a C#/WPF Windows desktop connector, and Python ML/RAG workers. The codebase is in production and serves paying customers. You'll own significant parts of it, drive the architecture of the entity-resolution layer ...

will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns." Strategic Technical Discovery: Move beyond traditional "hands‐on" SA work to focus on high‐level architecture and strategic road‐mapping. You will … business decision‐makers. Nice to have: Deep expertise in articulating the strategic and commercial value of Generative AI , including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems . Familiarity with the latest advancements in Agentic Workflows , model fine‐tuning (Mosaic AI), and efficient inference ...

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 ...

doing Owning the firms GenAI platform deployment, maintenance, optimisation, and vendor relationships Building AI-backed applications including assistants, copilots, agents and document workflows Implementing RAG capabilities and integrating LLMs via APIs and SDKs Managing AI governance acceptable use, auditability, risk mitigation (prompt injection, data leakage, hallucination) Monthly reporting on model … ideally in legal or professional services Strong working knowledge of the major foundational models GPT, Gemini, Claude, Llama Hands-on experience with prompt engineering, RAG, and LLM API/SDK integration Understanding of AI risk and security you know what prompt injection looks like and how to defend against ...

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 ...

data‐intensive, fast‐moving engineering org — and has the range to show for it Can credibly walk into a conversation about data pipeline architecture, RAG evaluation, API design, or system scalability — and add something useful in all of them Owns problems, not just opinions. You're not here to review … Deep experience with complex data modelling, entity resolution, and data pipelines in production environments Proven experience designing and shipping AI/LLM systems — RAG, structured extraction, evaluation frameworks — beyond the prototype stage Strong backend and distributed systems knowledge: APIs, service architecture, scalability, observability Experience making and owning foundational architectural decisions ...

autonomy to build and shape the AI function as your own. What You'll Do Lead the design and deployment of a market-leading RAG conversational agent, working with a large, complex proprietary dataset. Partner with product managers, content managers and senior stakeholders to design, develop, deploy and optimise state … user requirements. Optimise LLMs, datasets and agent workflows to the highest quality standards, detecting and mitigating hallucinations and output errors. Deploy and maintain RAG architecture and LLM pipelines within cloud environments. Optimise data-chunking and text embeddings for optimal semantic search across a large, specialist corpus. Track the competitive landscape ...

Europe) Salary: £80,000 - £180,000 + Equity The Role I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine … Commercial experience building production AI/ML applications Strong Python engineering skills Experience with modern LLMs and agentic AI systems Hands-on experience with RAG, vector databases and LLM orchestration Experience deploying and operating production ML systems Comfortable working across models, infrastructure and product Enjoy working in fast-moving, early ...

Location: UK - Hybrid/Remote with client travel Salary: £90,000 - £110,000 + bonus and benefits Skills: Enterprise AI Transformation, Generative AI, LLMs, RAG, AI Agents, Workflow Automation, AI Prototyping, Technology Consulting, Discovery Workshops, Pre-Sales, Proposition Development The opportunity We are working with a growing technology and transformation … Around 3-5 years' experience in technology consulting, digital transformation or a related client-facing role Practical understanding of generative AI, large language models, RAG, AI agents and workflow automation Experience taking ideas from discovery through to prototype, pilot or implementation Confidence using modern AI development and productivity tools such ...

operate hands‐on where needed. Proven experience leading teams of Principal Engineers and Architects in complex environments. Strong understanding of AI integration patterns (e.g. RAG, embeddings, vector databases), cloud‐native architectures, and scalable distributed systems. Experience overseeing AI‐enabled product capabilities at scale. Proven ability to drive high standards … software architecture patterns, including microservices, event‐driven systems, and cloud‐native design. Strong understanding of AI/ML concepts and integration approaches, including LLMs, RAG architectures, vector databases, and responsible AI practices. Expertise in scalable platform design, performance optimisation, and distributed systems used by high‐volume, global user bases. Solid ...

solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance … strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development ...

solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance … strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development ...

systems. You will own complex problems end-to-end, drive rigorous evaluation practices, and shape the technical direction of retrieval and RAG systems. You should have deep hands-on experience in search/retrieval, RAG pipelines, and evaluation frameworks, operating as a senior individual contributor with ...

major technology transformation, offering the opportunity to build the cloud-native platforms, shared services and engineering foundations that will power the next generation of AI products and intelligent applications. The Opportunity As a Staff Platform Engineer, you'll combine deep technical expertise with platform leadership, designing and delivering … Databricks, Azure AI services, APIs and integration technologies Expertise developing scalable platform architecture and reusable engineering capabilities Experience supporting modern AI workloads, including LLMs, RAG and AI-powered applications A passion for technical leadership, engineering excellence and building platforms that enable teams to deliver at scale If you're looking ...

complex, multi‐stakeholder engagements with C‐suite and senior executive clients Hands‐on experience deploying AI/ML applications or intelligent workflows — including LLMs, RAG pipelines, forecasting models, or symbolic reasoning systems Ability to synthesize ambiguous business challenges into structured, actionable problem frames Experience working closely with engineering and product … complex, multi‐stakeholder engagements with C‐suite and senior executive clients Hands‐on experience deploying AI/ML applications or intelligent workflows — including LLMs, RAG pipelines, forecasting models, or symbolic reasoning systems Ability to synthesize ambiguous business challenges into structured, actionable problem frames Experience working closely with engineering and product ...