451 to 475 of 498 Retrieval-Augmented Generation Jobs in London

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 ...

knowledge management, innovation, or legal technology environment.* Hands-on experience creating AI agents and working with modern large language models, including prompting, retrieval-augmented generation concepts, evaluation, workflow orchestration, and practical application to legal work.* Ability to collaborate effectively with AI Enablement, Data Modernization ...

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 ...

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 ...

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 ...

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 ...

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 ...

ship customer-facing applications, APIs and internal platforms. Remain hands-on with coding, testing, architecture and code reviews. Build AI-enabled products using LLMs, RAG, agents and model APIs. Take AI ideas from rapid prototypes through to reliable production systems. Work across Python, React/TypeScript, Django, FastAPI, PostgreSQL … scalability, security, reliability and maintainability. Technology Python | React | TypeScript | Django | FastAPI | PostgreSQL | AWS | Docker | REST APIs | CI/CD | Git AI experience across LLMs, RAG, agentic workflows, embeddings, prompt design or model evaluation is particularly valuable. What Theyre Looking For 510 years' commercial software engineering experience. Strong, recent hands-onPython ...

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. ...

About Nexus Black IFS Nexus Black builds AI to solve hard problems for the industries that keep the world turning: up on power lines, down on factory floors, and out in the field. Our products ...

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 … long‐term quality and governance model for federated MCP contributions across LSEG.Skills\* Strong Python experience for test harnesses and automation.\* Experience with LLM and RAG evaluation frameworks or custom evaluation pipelines.\* Test automation expertise covering unit, integration, and regression testing.\* Understanding of agentic system risks and failure modes.\* 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 … 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 ...

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 ...

tone alignment with The Economist's editorial voice; Design, curate, and manage fine-tuning datasets, including versioning and annotation workflows; Build and evaluate RAG pipelines incorporating retrieval from structured content; Prototype and test text-to-speech pipelines for audio-first products; Collaborate with infrastructure, frontend, and design leads … quality evaluation pipelines, including BLEU, ROUGE, editorial scoring, custom evaluations, and human-in-the-loop feedback loops; Support product experiments involving real-time generation, summarisation, or personalisation; Partner with journalists and editors to develop evaluation metrics capturing The Economist's tone and style. Требования 3+ Years of experience ...

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 ...

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. ...

hackajob is partnering directly with Google to hire for this role. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond … continue to push technology forward. AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else. Our mission is to improve the quality of models that Google releases ...

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 ...

rigor, and building an inclusive, collaborative culture. Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions. Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards. Influence across product … data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems. Proven success leading and developing technical teams in complex product, platform, or research environments. Experience working ...

governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. … including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design ...

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 ...