16 of 16 Permanent Retrieval-Augmented Generation Jobs in the South East

shipping AI-powered products end-to-end using LLM technologies. Owning and scaling the retrieval-augmented generation (RAG) and AI application layer. Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost optimisation. Working across the stack, including backend services ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

bring a strong STEM/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG, Agentic AI (e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external ...

security. The confidence to take ownership of projects, challenge ideas constructively and explain technical decisions to non-technical colleagues. Experience with LLMs, AI agents, RAG, vector databases or workflow automation tools would be useful, but you don't need to have worked with every technology. Why consider it? The business ...

code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement … Nice-to-Have Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience with APIs, data pipelines, MLOps practices and modern software engineering disciplines. Experience managing partner-led delivery ...

data platforms. Engineering Leadership: Managing engineers, establishing development standards, mentoring technical teams and taking ownership of delivery. Exposure to Large Language Models, retrieval-augmented generation, model orchestration or other emerging AI technologies would be advantageous. About You We're looking for someone ...

GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems, and using ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...

build cutting-edge solutions using Generative AI, Machine Learning, and Agentic AI systems . What Youll Do Design and build GenAI solutions (LLMs, RAG, prompt engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker … experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice to Have AWS certifications ...

cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI, LLMs, RAG or agent-based workflows. Experience using AI-assisted development tooling (e.g. GitHub Copilot, Cursor) to accelerate delivery. Experience working in an agile environment. Experience in financial services … such as Streamlit or ReactJS. Awareness of the AI/ML model lifecycle, training data, evaluation, tuning, monitoring. Awareness of GenAI concepts, prompting, embeddings, RAG, vector databases. Knowledge of Snowflake specifically, and its integration patterns on AWS. Awareness of enterprise architecture, security and regulatory considerations in financial services. Disability Confident ...

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 ...

support critical decision-making processes. The Role Build and deploy agentic AI workflows using tools such as LangGraph and LangChain. Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies. Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning. Create evaluation frameworks and observability … building and deploying LLM, generative AI, or machine learning systems in production. Expertise with LangGraph, LangChain, or similar orchestration frameworks. Experience designing and improving RAG architectures and vector database solutions. Knowledge of AI evaluation, observability, and cloud-based software engineering best practices. How to Apply ...

building production-grade LLM systems used to solve complex knowledge and workflow challenges. This is a hands-on opportunity to work on agentic AI, RAG and evaluation frameworks in a highly technical, fast-moving environment. The Company They are building an AI platform that helps organisations automate complex workflows … they combine startup agility with strong commercial foundations. The Role Build multi-step AI agent workflows using LangGraph, LangChain or similar frameworks Develop production RAG pipelines, embeddings and retrieval systems Design AI evaluation frameworks and testing infrastructure Optimise model performance, reliability, latency and cost Build backend services ...

teams deploy to production daily and take ownership of the products they build throughout their lifecycle. The organisation is investing heavily in next-generation product capabilities, particularly around AI-driven development and Agentic AI. As a result, you'll have the opportunity to influence how modern AI technologies … data, microservices environment. Experience delivering Agentic AI capabilities is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Strong stakeholder engagement skills are also important, as you'll regularly work with Product teams, engineering leadership and business ...

culture where engineering teams own products throughout their lifecycle and deployments occur continuously throughout the day. They are also investing heavily in next-generation product capabilities making this an excellent opportunity for somebody who has already applied AI-driven technologies within commercial within software products. What … Commercial experience delivering Agentic AI capabilities into production environments is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Previous experience within a SaaS business would be highly desirable. What you'll get in return ...

world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating … strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing ...