776 to 800 of 859 Retrieval-Augmented Generation Jobs in the UK

production LLM systems that deliver accurate, valuable outcomes for real users. You’ll be responsible for: Building and improving production LLM-driven systems , including RAG and agentic workflows. Developing high-quality, reliable and well-tested Python code. Designing and implementing evaluations (evals) that genuinely measure whether AI systems are improving. … ideally have: 4+ years' experience building production software. 2+ years' experience building production LLM applications. Strong hands-on experience with Python . Experience building RAG systems , LLM applications and/or AI agents. A strong understanding of how LLM systems work, including areas such as embeddings, prompting and model parameters ...

real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made * Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) * Iterating in short loops: demoing every few days, taking feedback, changing course without … front-end, back-end and data engineering to build the whole thing yourself * Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP - with evidence you've shipped AI users actually rely on, and how you proved it could be trusted * Evaluation-driven habits ...

real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without … front-end, back-end and data engineering to build the whole thing yourself Hands-on production LLM and agent experience: prompt engineering, agent workflows, RAG, tool orchestration and MCP, with evidence you've shipped AI users actually rely on, and how you proved it could be trusted Evaluation-driven habits ...

Claude Agent SDK, wiring and steering agent loops. Author custom skills and slash commands for Claude Code to codify team‐specific workflows. Implement RAG pipelines and integrate vector stores (e.g., Qdrant, pgvector, Pinecone) to ground agent outputs in trusted data. Instrument agents for evaluation and observability so their outputs … Code to codify team‐specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g., Qdrant, pgvector, Pinecone). Awareness of AI‐specific risk areas relevant to a regulated environment (OWASP ...

experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g. … experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g. ...

Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency … such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar. Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures. Experience optimizing models for GPUs or specialized accelerators. Strong understanding of production ...

inference workflows, guiding teams through design reviews and hands-on coding. You will work across AWS/Azure/GCP, apply retrieval-augmented generation, and champion responsible AI governance while mentoring engineers and delivering high-impact AI solutions at scale. #J-18808-Ljbffr ...

technical training), plus gain certifications Role Overview We are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. You will advise … with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response. Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools. Experience designing guardrails for autonomous systems, including least privilege, approval ...

technical and non-technical training), plus gain certifications Role OverviewWe are looking for an AI Security Consultant to help organisations secure the next generation of technology environments, including AI-enabled applications, LLM integrations and agentic systems. This is a cyber security consulting role with an AI focus. … with SOC operations, SIEM/SOAR platforms, detection engineering, threat intelligence or incident response. Knowledge of AI-enabled development platforms, agent frameworks, retrieval-augmented generation, model APIs, vector databases or automation/orchestration tools. Experience designing guardrails for autonomous systems, including least privilege, approval ...

human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape---foundation models, agentic AI, retrieval-augmented generation, fine-tuning---and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred ...

13+ billion. For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice. Primary Skill - RAG & Agentic GenAI Engineering Secondary Skill - Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards … Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services Work across the full SDLC pipeline (design, development, testing, CI/CD, deployment, and maintenance) Collaborate with cross-functional teams ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

Searchability seeks an experienced AI Engineer to join a major enterprise AI transformation programme, focusing on AI Agents, RAG and GenAI. You’ll design and build agentic AI solutions, and develop APIs in a complex enterprise environment. The role involves working with large language models, prompt engineering, and production-grade ...

benchmark suites, LLM-as-judge and playability pass/fail checks, and show output quality improving over time. Own the economics: tiered model routing, RAG/templates, caching, small-model distillation. What you bring Have shipped text-to-game or AI game-creation tech (Rosebud, Bitmagic, Astrocade, Websim, Roblox Cube … → validation → repair → eval, with benchmark suites, LLM-as-judge and playability pass/fail checks. Know the economics cold: tiered model routing, RAG/templates, caching, small-model distillation - have cut cost per generation 10x somewhere. Strong enough engineer to live in the runtime too: Three.js ...

fast-growing function from an early stage. The Role You will: Build and fine-tune LLM-powered applications and services Develop and optimise RAG pipelines Deliver style and tone modelling solutions to improve LLM outputs Support personalisation, summarisation, and real-time generation initiatives Work closely with product, engineering ...

Neo4j/Knowledge Graph experience Experience with Vector Databases, Search or Indexing Strong understanding of data modelling and governance Experience supporting AI, LLM or RAG use cases Nice to have: Enterprise Knowledge Management/Knowledge Base experience Semantic Search Large-scale Search platforms AI/LLM and RAG experience Financial ...

team to join the bank with specific AI related skills. Key criteria: Experience in AI-driven and AI-assisted testing, including GenAI, RAG-based systems, intelligent automation, and tools such as GitHub Copilot, Amazon Q, and Cursor AI. Experience in innovation and PoCs, particularly in AI-led test generation ...

business problem and shaping the solution through to deployment, monitoring and continuous improvement. Your work could include building a retrieval‐augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation … from problem definition through to live service and iteration. Develop generative AI solutions using prompt and context engineering, coding, retrieval‐augmented generation, fine‐tuning and applying evaluation techniques. Implement and optimise agentic AI workflows and multi‐step reasoning pipelines, integrating them with enterprise systems ...

role will shape target-state architecture, reusable patterns, and technical standards across the platform, with a particular focus on production-grade AI and RAG systems, data architecture, integrations, security, and Azure cloud infrastructure. Success will require strong architectural judgement and hands-on engineering expertise to create solutions that are scalable … prototypes and production-quality solutions in Python and TypeScript, reviewing code, and resolving complex technical challenges. Design production-grade AI architectures across LLM/RAG, retrieval, agentic workflows, evaluation, guardrails, tool calling, observability, and cost/latency optimisation. Define reference architectures, reusable patterns, and technical standards across applications ...

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 ...

building and taking AI solutions into production, working predominantly with Python, React and AWS . The work will include building applications using LLMs , developing RAG pipelines , working with AI agents/agentic workflows , and integrating AI capabilities with existing applications and data. What we're looking for Strong Python development … experience Hands-on experience building Generative AI/LLM applications Experience with RAG pipelines Understanding of AI agents/agentic workflows AWS experience Experience taking applications into production You'll need to be comfortable working closely with both technical and business teams, and able to take fairly open-ended problems ...

Integrate agents and applications with existing client platforms using Microsoft Graph, REST APIs and Azure services Design solutions involving knowledge retrieval, RAG, document processing and autonomous workflows Advise clients on AI security, governance, identity and deployment considerations Contribute to technical documentation, development standards and solution architecture Work across … Platform , particularly Power Automate and Power Apps Microsoft 365 Copilot and the wider M365 ecosystem Microsoft Foundry/Azure AI services Azure AI Search, RAG and generative AI solutions Conversational AI, agentic AI and autonomous workflows Microsoft Graph and REST API integrations Dataverse, SharePoint and Teams Entra ID, app registrations ...

/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 ...

Morgan’s Holdings is a global technology and retail group dedicated to overturning a hundred years of retail stagnation. By blending frictionless AI, "product-less" showrooming, and zero-waste logistics, we’ve created a model ...

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. … expertise in CPG, retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united ...