1 to 25 of 1,106 Permanent Retrieval-Augmented Generation Jobs in the UK

focused on building the intelligence layer of advanced AI products. You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust evaluation frameworks that ensure AI systems are accurate and aligned with real-world business needs. Reporting to the Director … with AI Platform Engineering to ensure solutions are scalable, maintainable, and production ready. Design, build, and train production-grade generative AI systems. Implement robust RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-based AI patterns with a focus on determinism, quality, and maintainability. Apply ...

focused on building the intelligence layer of advanced AI products. You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust evaluation frameworks that ensure AI systems are accurate and aligned with real-world business needs. Reporting to the Director … with AI Platform Engineering to ensure solutions are scalable, maintainable, and production ready. Design, build, and train production-grade generative AI systems. Implement robust RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-based AI patterns with a focus on determinism, quality, and maintainability. Apply ...

focused on building the intelligence layer of advanced AI products. You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust evaluation frameworks that ensure AI systems are accurate and aligned with real-world business needs. Reporting to the Director … with AI Platform Engineering to ensure solutions are scalable, maintainable, and production ready. Design, build, and train production-grade generative AI systems. Implement robust RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-based AI patterns with a focus on determinism, quality, and maintainability. Apply ...

focused on building the intelligence layer of advanced AI products. You will design and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust evaluation frameworks that ensure AI systems are accurate and aligned with real-world business needs. Reporting to the Director … with AI Platform Engineering to ensure solutions are scalable, maintainable, and production ready. Design, build, and train production-grade generative AI systems. Implement robust RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-based AI patterns with a focus on determinism, quality, and maintainability. Apply ...

optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research … Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud ...

will leverage managed AI services across GCP and Azure to deliver features like semantic search, retrieval-augmented generation (RAG), and intelligent data enrichment. Working closely with Data and ML Engineers, you will define patterns, select technologies, and ensure our solutions are secure, performant … Search with embeddings. Cost & Performance : Establish strategies for latency optimization and cost control across clouds. AI Enablement & Delivery RAG System Design : Implement retrieval-augmented generation patterns for small, volatile data chunks; ensure grounding and factuality. Evaluation & Observability : Define quality metrics (precision/recall, groundedness ...

will leverage managed AI services across GCP and Azure to deliver features like semantic search, retrieval-augmented generation (RAG), and intelligent data enrichment. Working closely with Data and ML Engineers, you will define patterns, select technologies, and ensure our solutions are secure, performant … Search with embeddings. Cost & Performance : Establish strategies for latency optimization and cost control across clouds. AI Enablement & Delivery RAG System Design : Implement retrieval-augmented generation patterns for small, volatile data chunks; ensure grounding and factuality. Evaluation & Observability : Define quality metrics (precision/recall, groundedness ...

implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming ...

implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming ...

field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You’ll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...

Level: Junior–Mid Overview: As a Developer Advocate focused on AI/GenAI, you will empower AI builders with practical LLM/RAG samples, vector search demos, and hands-on tutorials. You'll foster engagement and growth in the AI developer community while ensuring GitHub advocacy repositories remain organized, discoverable … date. Key Responsibilities: Build AI/GenAI sample applications, including prompt pipelines, embeddings, retrieval-augmented generation (RAG), and evaluation/reference implementations. Maintain GitHub repositories and automation for AI assets; standardize repo structure, documentation, and contribution models. Produce step-by-step tutorials, quickstarts ...