426 to 450 of 878 Retrieval-Augmented Generation Jobs in the UK

expected to figure things out, make trade‐offs, and ship, with real autonomy over how. Nice to have Experience with LLM‐powered applications: RAG pipelines, tool‐calling architectures, or agentic systems. Experience designing external‐facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards. Familiarity with data infrastructure such ...

Anthropic APIs. The role requires 3-5 years of experience, strong Python/TypeScript skills, and hands-on experience with LLMs, vector databases, and RAG pipelines. #J-18808-Ljbffr ...

Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied ...

Experience with AI evaluation frameworks Ability to code independently Strong problem-solving and communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied ...

experience Strong React.js, Node.js and TypeScript experience Next.js and RESTful APIs GCP including Cloud Run Kubernetes and Terraform AI/LLM integrations, AI agents, RAG or agentic workflows Unit, integration and end-to-end testing CI/CD, secure coding and DevSecOps Experience building scalable, high-traffic applications Strong ...

escalation point Experience with RBAC, data masking, Photon, cluster optimisation or cost management would be beneficial Exposure to Mosaic AI, Vector Search, model serving, RAG or Lakebase would be advantageous ...

Fargate or similar orchestration technologies * NoSQL and relational databases * Messaging and integration services * Cloud storage solutions - Practical experience applying AI technologies such as LLMs, RAG, AI agents and automation within software solutions. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon ...

technical BizOps role. Hands-on experience with LLM APIs, agentic frameworks, or workflow automation tools (e.g., Python, Zapier/Make, internal tooling, RAG pipelines). Strong SQL and scripting skills; comfortable moving between spreadsheets, code, and no-code tools as the situation demands. A track record of shipping things that ...

crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context — prompt engineering, RAG pipelines, or AI-assisted debugging workflows Prior coursework or project experience in OS internals, systems programming, or low-level debugging Familiarity with Apple platform internals ...

launch and architecting AI systems on cloud platforms (e.g., GCP). Experience building pipelines for structured and unstructured data using both vector databases and RAG‐like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Active, or the ability to obtain, a Security Check ...

years of hands‐on software engineering. Comfortable working in C++, with Python alongside it. Practical experience using LLMs as an applied tool: prompting, guardrails, RAG, evaluation, and reasoning about model behaviour. You've built, or extended a model and integrated it meaningfully into a real product, close to the surface ...

code You have experience working with large-scale, unstructured text data and LLMs - including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor You have experience with advanced visualization techniques/best ...

identity, secrets, access control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting ...

work forward independently. What makes you stand out? Experience building AI/LLM-enabled products in production or controlled enterprise environments (e.g. agentic workflows, RAG, prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data ...

work forward independently. What makes you stand out? Experience building AI/LLM-enabled products in production or controlled enterprise environments (e.g. agentic workflows, RAG, prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data ...

code You have experience working with large-scale, unstructured text data and LLMs — including prompt design, evaluation (e.g., golden sets, LLM‐as‐judge), and RAG patterns You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor You have experience with advanced visualization techniques/best ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

organization Deep expertise in modern AI engineering concepts and tech stacks, with hands-on experience in agentic system orchestration (e.g., LangGraph), RAG architectures, and vector databases You are a deep scientist by training but a builder by choice; you prioritize shipping working, iterative solutions that solve real customer problems over ...

communication skills; able to translate complex technical concepts for business audiences and vice versa Preferred Qualifications Experience with AI/LLM‐adjacent products — including RAG pipelines, knowledge graphs, embedding models, or MCP/API integrations powering AI applications Familiarity with Agentive AI architectures and how knowledge layers support intelligent automation ...

Azure, including SaaS and PaaS offerings. Hands-on experience building and deploying with modern AI, including large language models and agentic AI (prompt engineering, RAG, tool and function calling, orchestration), on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry and Azure AI services. Proven experience of technical ...

must demonstrate differentiated, hands-on Agentic AI and GenAI expertise: 1/Proven experience architecting and building agentic AI systems - including multi-agent orchestration, RAG pipelines, and prompt engineering - not theoretical familiarity but demonstrated delivery of working prototypes and customer-facing demos. 2/Proficiency using AI-powered coding assistants ...

especially MS SQL)REST APIs or GraphQLContainers and cloud platforms (e.g., Azure)Experience building modular systems with continuous deliveryExperience building AI-powered features (e.g., RAG systems, LLM integrations)Degree in Computer Science or equivalent experienceEducationBachelor's Degree (Computer Science or engineering preferred) or equivalent work experienceOptimizely is committed ...

wider organisation. About the role This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic workflows, tool orchestration, and multi-step ...

wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic workflows, tool orchestration, and multi-step ...

Hubspot. About the teamThe AI Engineering team builds the systems and capabilities behind Typeform's products. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. The team owns the journey from experimentation through … Engineer at Typeform, you will design, build, and operate the systems behind our AI products. Your work will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands on engineering role with ...