76 to 100 of 135 Retrieval-Augmented Generation Jobs in the UK

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

advanced LLM features such as Function Calling and API integrations, Vector Embeddings and semantic search, Prompt Engineering and prompt optimization or RAG (Retrieval-Augmented Generation). Demonstrated experience in cloud-native environments and proficiency in diverse architectural paradigms and system design. A proven track More ❯

development. Minimum Requirements: +6 years of experience working with Node.js/JavaScript. AI Development Experience: Proficient in working on AI-related applications such as RAG, Agents, Inference, fine-tuning, and training. Microservices Architecture: Familiarity with microservices architecture for scalable applications. Peer-to-Peer Technologies: Understanding of Peer-to-Peer technologies. More ❯

experience working with multinational customers in support of technology sales. An understanding of AI and semantic search and vector technologies, with a focus on RAG, vector search, and NLP. Professional experience architecting/operating solutions built on AWS, Google Cloud or MSFT Azure. Excellent communication and presentation skills, able to More ❯

Previous experience in AI powered enterprise/B2C SaaS environment and product. Familiarity with low-code/no-code AI tools, vector databases, or RAG workflows. Experience launching AI-powered features or agent-led automation tools. Background as a software engineer or technical role Please reach out for more information More ❯

Programming . Proven experience in Python and Data Science. Strong experience in using Python Data structures. 1+ years of strong experience in GEN AI RAG Models. Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes. Understanding the key metrics for validation of the models such … Candidates should be able to effectively communicate by telephone, email, and face-to-face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in More ❯

a real impact from day one. What You’ll Be Doing: Architecting and scaling production-ready AI systems focused on automation and insight Building RAG pipelines and intelligent agents that retrieve, summarise, and act on business-critical data Evaluating and integrating open-source, fine-tuned, and proprietary models to deliver More ❯

a real impact from day one. What You’ll Be Doing: Architecting and scaling production-ready AI systems focused on automation and insight Building RAG pipelines and intelligent agents that retrieve, summarise, and act on business-critical data Evaluating and integrating open-source, fine-tuned, and proprietary models to deliver More ❯

relevant engineering experience at tech and product-driven companies. Experience shipping LLM-based solutions to production. Experience with inference and evaluation platforms. Experience with RAG, semantic search, vector stores, embeddings. Experience building features end-to-end with TypeScript, React.js, and Node.js. Ability to thrive in a fast-paced startup environment More ❯