10 of 10 Remote Retrieval-Augmented Generation Jobs in South Wales

build and evolve Generative AI (GenAI) proof-of-concepts (POCs) for clients using techniques like Retrieval-Augmented Generation (RAG) and intelligent agents. Support the transition of these POCs into scalable, production-ready solutions. C Contribute to the design and development of full-stack applications More ❯

build and evolve Generative AI (GenAI) proof-of-concepts (POCs) for clients using techniques like Retrieval-Augmented Generation (RAG) and intelligent agents. Support the transition of these POCs into scalable, production-ready solutions. C Contribute to the design and development of full-stack applications More ❯

cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. Knowledge of LLM security challenges, including prompt More ❯

cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. Knowledge of LLM security challenges, including prompt More ❯

strategies - Designing robust API interfaces - Creating comprehensive testing frameworks 🟣 Client Solutions - Translating complex requirements into elegant technical solutions - Building custom knowledge graph applications - Implementing RAG systems with advanced reasoning capabilities - Delivering high-quality, maintainable code to clients What We're Looking For: 🔵 Technical Expertise - Strong Python skills with experience in More ❯

strategies - Designing robust API interfaces - Creating comprehensive testing frameworks 🟣 Client Solutions - Translating complex requirements into elegant technical solutions - Building custom knowledge graph applications - Implementing RAG systems with advanced reasoning capabilities - Delivering high-quality, maintainable code to clients What We're Looking For: 🔵 Technical Expertise - Strong Python skills with experience in More ❯

comparable) servers. Practical knowledge of Next.js and modern front-end tooling. Practical knowledge of Express . Deep understanding of core LLM concepts such as RAG pipelines, vector embeddings, fine-tuning methodologies, tokenization , and latency/throughput trade-offs. An understanding of the LLM model landscape and the strengths and weaknesses More ❯

comparable) servers. Practical knowledge of Next.js and modern front-end tooling. Practical knowledge of Express . Deep understanding of core LLM concepts such as RAG pipelines, vector embeddings, fine-tuning methodologies, tokenization , and latency/throughput trade-offs. An understanding of the LLM model landscape and the strengths and weaknesses More ❯

looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI infrastructure, working closely with product and platform teams to turn ideas into features. It’s the kind of role where … your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that More ❯

looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI infrastructure, working closely with product and platform teams to turn ideas into features. It’s the kind of role where … your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that More ❯