226 to 250 of 254 Retrieval-Augmented Generation Jobs in London

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, ecommerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … websites, including custom themes, plugins and API integrations * Experience integrating booking engines, E-commerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...

consultative environment. Responsibilities Design end-to-end AI and Generative AI architectures for enterprise-scale transformation programmes Define solution architectures leveraging LLMs, RAG, vector databases and AI agent frameworks Work with senior client stakeholders to translate business challenges into scalable AI solutions and implementation roadmaps Design secure, responsible and scalable … experience designing and delivering enterprise AI, Machine Learning or Advanced Analytics solutions Strong understanding of modern AI technologies including Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases Experience architecting production-grade AI platforms and applications Strong knowledge of at least one major cloud platform (Azure, AWS or GCP) Ability ...

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 … understanding of Model Context Protocol (MCP), including server and tool patterns.\* FastAPI and REST API design and implementation experience.\* Experience with prompt engineering and RAG‐based architectures.\* Containerisation and Kubernetes‐based deployment experience.\* Ability to work across platform, product, and governance boundaries in an enterprise environment.**Career Stage:**Manager**London ...

About Brain Co Brain Co. is an applied AI startup founded by Elad Gil and Jared Kushner, backed by industry leaders such as Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger ...

About Brain Co. Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy ...

Scientist to deliver end-to-end AI solutions, from research to production, in a financial services context. You will design LLM/GenAI systems, RAG pipelines, and GraphRAG representations, collaborating with data and platform teams. The role emphasises experimentation, evaluation metrics, and production observability of LLMs, plus mentoring junior scientists ...

Specialists to understand payoff design, product mechanics, and client requirements, translating business needs into scalable platforms. Apply modern AI and Generative AI techniques — including RAG, agent architectures, and context engineering — to enhance structuring workflows such as trade idea generation, documentation, and client engagement Drive the design and development … working alongside a Structuring desk, quantitative Strategists, or Desk quants is valued Working knowledge of modern AI and Generative AI frameworks and concepts — including RAG, agent architecture, context engineering, and orchestration tooling — ideally with applied experience in a financial context Strong analytical and problem‐solving abilities with a commercial mindset ...

Doing Rapidly prototype, build and validate new AI-driven solutions, taking concepts from idea to working demo in days. Develop components using LLMs, RAG, prompt engineering and modern agent frameworks . Work closely with architects, product leaders and engineers to de-risk emerging technologies and shape future solutions. Leverage … Strong software engineering experience with C#/.NET Core, Angular/TypeScript and Python . Practical experience working with AI technologies including LLMs, RAG, agent frameworks and prompt engineering . A track record of rapidly building prototypes, MVPs and proof-of-concepts. Experience within insurance, reinsurance, risk analytics or financial ...

reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience … etc. Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building. Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows. Proven ability to lead discovery workshops and translate complex business problems into clear ...

reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills • Experience … etc. • Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building. • Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows. • Proven ability to lead discovery workshops and translate complex business problems into clear ...

data platform. You will design test strategies, validate AI models, and build automated quality gates within complex cloud and data pipelines. Key Responsibilities AI & RAG Validation: Define evaluation frameworks to validate GPT responses, summarisation accuracy, and RAG performance. Automation & CI/CD: Build and maintain automated test frameworks integrated into ...

platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power agents that deliver real impact for enterprise customers. You will: Own large areas of platform end to end, driving components … through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations between retrieval and ML components and diverse enterprise data ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...