301 to 325 of 382 Retrieval-Augmented Generation Jobs in England

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you'll help us get there. Key Responsibilities Stay up to date with the state … apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended; Work in an "eval-driven development" methodology, applying evaluation techniques such ...

maintaining audio data pipelines for collection, preprocessing, augmentation, and evaluation Experimenting with multimodal models that combine speech, text, and contextual signals Exploring prompt engineering, RAG, and memory architectures for voice-driven AI systems Collaborating with engineers to deploy models into low-latency, production environments Developing internal tools for model monitoring … Recognition, ASR, Text-to-Speech, TTS, Speaker Recognition, Conversational AI, Multimodal AI, Deep Learning, Transformers, NLP, LLMs, Generative AI, Python, PyTorch, TensorFlow, Hugging Face, RAG, MLOps, Data Pipelines, Model Deployment, AI Research, Applied AI, AI Systems, AI R&D, Speech Technology, Voice Technology, AI Startup, Early-Stage Startup. ...

engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale. What you will do Build … deploy backend services and APIs, Python preferred using Django or FastAPI Productionise AI features including RAG, agent orchestration, and evals Create data pipelines for training, evaluation, and continuous improvement Ensure performance, reliability, and security across the stack Work closely with founders, engineers, and product teams What we are looking ...

engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale. What you will do Build … deploy backend services and APIs, Python preferred using Django or FastAPI Productionise AI features including RAG, agent orchestration, and evals Create data pipelines for training, evaluation, and continuous improvement Ensure performance, reliability, and security across the stack Work closely with founders, engineers, and product teams What we are looking ...

engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+ … teams and mentoring other engineers. Key Responsibilities Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...

Journey and broader Azure AI-related questions. Designing and delivering custom AI solutions on Azure OpenAI Service and Microsoft Foundry, using patterns like RAG, function calling, tool/agent orchestration, and fine-tuning where appropriate. Implementing MCP-based integrations between AI services and existing application components (web apps, APIs, data … Design and optimize data pipelines that prepare structured and unstructured data for model training and RAG solutions. Implement vector search, embeddings, and retrieval-augmented generation workflows. Fine-tune or customize foundation models for domain-specific use cases. Create automated evaluation and monitoring systems ...