676 to 700 of 890 Retrieval-Augmented Generation Jobs in England

Manage a pipeline of enterprise accounts and hit quarterly ACV targets (€50K-€500K+ deals, land-and-expand) Run technical sales conversations on agent and RAG architectures, retrieval, evaluation, and pipeline orchestration, and handle security and compliance questions directly (SOC 2, EU AI Act, on-prem/VPC) Build ...

business value in a secure and scalable manner. Collaborate with senior stakeholders, design end-to-end Gen AI architectures, and develop reusable patterns for RAG, agent orchestration and knowledge retrieval. #J-18808-Ljbffr ...

govern end-to-end GenAI architectures on Azure for insurance workflows, including underwriting and claims. You will lead the implementation, drive agentic AI and RAG strategies, ensure security, cost efficiency, and regulatory compliance across enterprise systems while mentoring .NET and React teams. The role offers flexible Hybrid working ...

teams discover insights, automate workflows, and drive faster decisions. You will shape product strategy, roadmaps, and success metrics for analytics-enabled initiatives, leveraging LLMs, RAG, and conversational interfaces to deliver value while #J-18808-Ljbffr ...

Delivery Tech Lead to design and deliver enterprise-scale AI systems in a production environment. You will work on CCaaS/AI integration, RAG pipelines, and multi-agent architectures, collaborating with cloud platforms and strategy leads to drive innovation. The role requires hands-on engineering, strong Python experience ...

need someone with the "Phase 0 first" mindset- starting with deterministic deduplication before touching LLMs, building evaluation harnesses before declaring victory, understanding why RAG isn't always the answer for structured knowledge. This is about engineering discipline and pragmatism over hype. Experience at companies dealing with similar challenges is valuable ...

systems using React, C++, and/or RubyExperience building & maintaining open source software and/or libraries for developersKnowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative productsAt Figma, one of our values is Grow as you go. We believe in hiring smart ...

Prompt engineer, test and iterate on deployed AI agents across client use cases Work across LangGraph, LangChain, Claude Code/Codex/Gemini and RAG pipelines Implement RAG and vector database solutions (Pinecone, Weaviate, LlamaIndex) Deploy across cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio Bridge … experience with at least one agentic framework (LangGraph, LangChain, CrewAI or equivalent) Experience with foundation model APIs (Claude API, OpenAI API or Vertex AI) RAG implementation experience with at least one vector database Cloud deployment experience across AWS, GCP or Azure Evidence of AI systems you have built and deployed ...

predictive insights, document intelligence, fraud, compliance or customer‐service workflows. Familiarity with modern AI and GenAI development approaches, including LLMs, retrieval‐augmented generation, prompt design, agent orchestration and model governance. Awareness of AI‐enabled SDLC tools and practices such as requirements generation ...

Engineer, you will build user-facing applications and backend services that integrate with Model Context Protocol (MCP) servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms. You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable … tools, skills, APIs, and UI components for use across AI applications and agent runtimes. Integrate AI-powered user interfaces with backend APIs, MCP servers, RAG systems, and agent workflows. Implement RBAC policies governing which users, agents, clients, and applications can invoke specific tools or services. Develop agent workflows that support ...

European hours, partnering closely with the US-based engineering teams.ResponsibilitiesAI Deployment, Enablement & AdoptionOnboard and configure AI tools (LLM assistants, agentic coding tools, retrieval-augmented workflows, internal AI platforms) for individuals and teams across Portfolio Management and Analytics, including Quant and Research.Deliver hands-on training, office hours … technical and non-technical audiences.Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps.Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine-tuning, evaluation) and major AI platforms/APIs.Experience in financial services, asset management, or portfolio analytics is a strong plus.Good-to-have ...

/CD pipelines Debugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/… perf tuning. Nice to have - Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway- Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation)- Frontend development with React (TypeScript preferred) to build the application's UI (state management, routing ...

tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge … multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

strategies, backend services, and conversational interfaces.Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution.Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic.Implement tool-calling, function … language.Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns.Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces.Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments.Experience with observability ...

backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling … experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces. Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments. Experience with ...

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 … impact, ideally in enterprise environments. Practical experience working with large language models (ideally in a enterprise or start‐up setting): prompt engineering, agent development, RAG pipelines, evaluation frameworks, workflows, and deployment. Technical Skills Solid programming proficiency (we are open to any experience but primary languages include: TypeScript and the JavaScript ...

evolving our AI products Synthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptoms Shape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionals Demonstrate a working understanding of the challenges specific … product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level) Experience shipping AI products where output quality is probabilistic ...

building and evolving our AI productsSynthesize qualitative and quantitative insights into problem statements that identify root causes, not just symptomsShape the next generation of agentic AI products: multi-step reasoning workflows, tool orchestration, and autonomous task completion for financial professionalsDemonstrate a working understanding of the challenges specific … years of product management experience, preferably in FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI productsWorking knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level)Experience shipping AI products where output quality is probabilistic ...

efficiency Developing reusable AI capabilities and accelerators Supporting analysis, reporting and knowledge management initiatives Technical Responsibilities Python development AI agent orchestration LLM applications and RAG solutions API integrations Data pipelines Cloud-based development Application development Workflow automation What We're Looking For Essential 2-4 years' software engineering experience Strong … automation tooling Experience delivering real-world software solutions Strong problem-solving ability Excellent communication skills Highly Desirable AI Agents/Agentic AI experience RAG architectures Data engineering experience Cloud platforms (Azure, AWS or GCP) Modern application development experience Consultancy or client-facing experience Interest in emerging AI technologies Who This ...

company's internal AI platform and turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks … languages Full-stack capability, including back-end and data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security ...

release notes, production deployment governance, and incident/root-cause management.Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have:Experience managing a team, as this role involves … based services (e.g., FastAPI) and modern web stacks (e.g., Next.js/React.js) in real-world delivery.Practical experience delivering GenAI/agentic solutions (prompt engineering, RAG, governance patterns) in production or controlled enterprise environments. Worked with data pipelines/SQL databases/Mongo databases or Document storages.Why join our team ...

production Python in an enterprise, high-bar engineering environment.Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration.Familiarity with modern generative AI components such as large language model APIs, vector stores, embeddings, tool ...

with Azure OpenAI, Azure AI Document Intelligence or comparable cloud-based AI and document-processing services. Experience designing solutions involving generative AI, retrieval-augmented generation or AI agents. Knowledge of secure prompt design, model governance, data privacy and responsible AI controls. Experience with ...

with Azure OpenAI, Azure AI Document Intelligence or comparable cloud-based AI and document-processing services. Experience designing solutions involving generative AI, retrieval-augmented generation or AI agents. Knowledge of secure prompt design, model governance, data privacy and responsible AI controls. Experience with ...

initiative.Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred.Familiarity with AI/ML concepts including prompt engineering, model evaluation, retrieval-augmented generation, and agent orchestration frameworks is valuable but can be developed in-role.Prior experience in a developer enablement, developer experience, internal ...