51 to 60 of 60 Retrieval-Augmented Generation Jobs in the South East

Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders … experience Commercial experience with LLMs, prompt engineering and AI application development Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or similar Experience with RAG architectures, vector databases and semantic search Experience deploying AI solutions within cloud environments Understanding of MLOps, LLMOps and production AI systems Strong communication skills ...

Multidisciplinary delivery teams, directing architecture and engineering approach on complex, production-grade AI pipelines The full Applied AI stack - large language models, prompt engineering, RAG, vector databases and MLOps - across secure, enterprise-scale deployments Responsible AI frameworks, embedding governance for model risk, privacy, bias and human oversight into delivery … managing large accounts within Technology, Media or Telecommunications sectors Strong commercial understanding of generative AI and the modern AI stack, including LLMs, prompt engineering, RAG, vector databases and MLOps Experience leading delivery of production AI solutions, with accountability for outcomes and direction of architecture and engineering teams Practical application ...

opportunity to join a leading finance house in either London or Leeds 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, ex. perience in innovation and PoCs, particularly … test generation and regression optimisation. Proven experience of performing QA/SDET with experience across web, mobile, API, desktop, and cloud testing, highly experienced in test automation frameworks including Selenium, Playwright, Appium, Rest Assured, and Testing. Capability in designing and delivering scalable automation frameworks and enterprise test strategies ...

test team to include AI skills, to join this team you will have previous 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, you will bring experience in innovation and PoCs, particularly … test generation and regression optimisation. Senior QA/SDET with experience across web, mobile, API, desktop, and cloud testing, expertise in test automation frameworks including Selenium, Playwright, Appium, Rest Assured, and TestNG. Capability in designing and delivering scalable automation frameworks and enterprise test strategies, extensive experience ...

data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work closely with Product and Engineering … datasets and collaborating with engineering teams Confidence explaining methodology, limitations, and impact to a broad range of stakeholders Exposure to synthetic data, prompt engineering, RAG, or cloud-based data platforms is beneficial but not essential ...

Python development experience, ideally using modern backend frameworks Hands-on experience working with large language models and related techniques such as prompting, retrieval-augmented generation, or tool use Understanding of agent-based AI systems and orchestration approaches Good SQL skills and experience working with … beyond LLMs A proactive approach to experimenting with new AI tools and frameworks Apply now to play a key role in building next-generation AI capabilities within a high-performing engineering team. AI Engineer, Python, London, COR7586 Corriculo Ltd acts as an employment agency and an employment business. ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. ...

product challenges Responsibilties Design, build and deploy production-grade AI applications and services Develop intelligent workflows using LLMs, agentic architectures and orchestration frameworks Build RAG systems, knowledge retrieval platforms and AI-powered tooling Integrate AI applications with internal systems, business platforms and external services Develop scalable backend services … Your Experience Strong software engineering foundations Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience ...

party platforms Develop microservices, wrappers, connectors, and service interfaces to support solution components Support applied AI development including LLM services, speech services, classification models, RAG pipelines, and AI-enabled application features Prepare and maintain demo-ready technical builds for internal and customer-facing demonstrations Support the preparation of technical handoff … environment Excellent communication skills to articulate technical issues and blockers clearly Desirable Skills: Experience with AI/ML tools, LLMs, speech services, RAG systems, or AI APIs Experience with Unreal Engine, Unity, or other real-time 3D development environments Familiarity with Docker, FastAPI, REST APIs, Git, and deployment workflows Experience ...

experimentation’s sake. Scope of Role Design, build and deploy AI-powered products and applications Develop production-grade LLM solutions and agentic workflows Build RAG architectures and knowledge retrieval systems Integrate AI applications with internal platforms, tools and business systems Identify opportunities where AI can create measurable commercial … Your Experience Strong software engineering foundations Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience ...