26 to 50 of 55 Retrieval-Augmented Generation Jobs in the East of England

shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across the UK Up to £80,000 - £100,000 (DOE) 2-3 stage interview process ...

shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across the UK Up to £80,000 - £100,000 (DOE) 2-3 stage interview process ...

shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across the UK Up to £80,000 - £100,000 (DOE) 2-3 stage interview process ...

shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across the UK Up to £80,000 - £100,000 (DOE) 2-3 stage interview process ...

shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across the UK Up to £80,000 - £100,000 (DOE) 2-3 stage interview process ...

development is a plus Key responsibilities Design, build and deploy distributed systems and AI agents that leverage LLMs and retrieval‐augmented generation (RAG) to provide contextual, reasoning‐based capabilities. Develop cloud‐native microservices and data pipelines to deliver high‐performance inference and contextual retrieval … software development experience building scalable backend systems; strong knowledge of distributed system architecture, concurrency and microservices. Experience developing LLM‐powered applications, including prompt engineering, RAG and agentic frameworks. Proficiency in one or more programming languages such as Python, Java, Go or Rust; experience with cloud platforms (AWS, Azure ...

Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector databases and structured retrieval · Cloud deployment (AWS/ ...

Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector databases and structured retrieval · Cloud deployment (AWS/ ...

Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector databases and structured retrieval · Cloud deployment (AWS/ ...

Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector databases and structured retrieval · Cloud deployment (AWS/ ...

Summary About: Kalisa is a GenAI platform turning knowledge and expertise into secure AI solutions, in minutes. Core skills required: Python, Flask, LangChain, RAG, Generative AI product development, LLMs, Guard railing, anti-hallucination techniques and GenAI evaluation techniques. Other skills considered: Tailwind CSS, HTMX, AWS or Azure or GCP Please … JavaScript overhead and improving the overall user experience. No prior HTMX experience is required. GenAI Integration: Work with LangChain to implement prompt engineering techniques, RAG pipelines, and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage ...

Summary About: Kalisa is a GenAI platform turning knowledge and expertise into secure AI solutions, in minutes. Core skills required: Python, Flask, LangChain, RAG, Generative AI product development, LLMs, Guard railing, anti-hallucination techniques and GenAI evaluation techniques. Other skills considered: Tailwind CSS, HTMX, AWS or Azure or GCP Please … JavaScript overhead and improving the overall user experience. No prior HTMX experience is required. GenAI Integration: Work with LangChain to implement prompt engineering techniques, RAG pipelines, and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage ...

Summary About: Kalisa is a GenAI platform turning knowledge and expertise into secure AI solutions, in minutes. Core skills required: Python, Flask, LangChain, RAG, Generative AI product development, LLMs, Guard railing, anti-hallucination techniques and GenAI evaluation techniques. Other skills considered: Tailwind CSS, HTMX, AWS or Azure or GCP Please … JavaScript overhead and improving the overall user experience. No prior HTMX experience is required. GenAI Integration: Work with LangChain to implement prompt engineering techniques, RAG pipelines, and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage ...

Summary About: Kalisa is a GenAI platform turning knowledge and expertise into secure AI solutions, in minutes. Core skills required: Python, Flask, LangChain, RAG, Generative AI product development, LLMs, Guard railing, anti-hallucination techniques and GenAI evaluation techniques. Other skills considered: Tailwind CSS, HTMX, AWS or Azure or GCP Please … JavaScript overhead and improving the overall user experience. No prior HTMX experience is required. GenAI Integration: Work with LangChain to implement prompt engineering techniques, RAG pipelines, and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Business Analyst working within digital, technology, or regulated environments. Strong understanding of AI technologies such as LLMs, NLP, extraction/classification models, or RAG pipelines. Experience improving workflows, automation, or business systems within complex environments. Strong analytical skills with proficiency in process mapping, UML, BPMN or similar. Comfortable facilitating workshops ...

Business Analyst working within digital, technology, or regulated environments. Strong understanding of AI technologies such as LLMs, NLP, extraction/classification models, or RAG pipelines. Experience improving workflows, automation, or business systems within complex environments. Strong analytical skills with proficiency in process mapping, UML, BPMN or similar. Comfortable facilitating workshops ...

architectures, and emerging best practices. What you’ll bring: Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Benefits: 25 Days ...

systems across internal tooling, developer workflows, and customer-facing products. You'll own the end-to-end build of production AI systems, from RAG pipelines and multi-agent architectures to LLM integration, fine-tuning, and workflow automation. Core Skills: Python/TypeScript/JavaScript LangChain RAG at scale LLM fine ...

systems across internal tooling, developer workflows, and customer-facing products. You'll own the end-to-end build of production AI systems, from RAG pipelines and multi-agent architectures to LLM integration, fine-tuning, and workflow automation. Core Skills: Python/TypeScript/JavaScript LangChain RAG at scale LLM fine ...

systems across internal tooling, developer workflows, and customer-facing products. You'll own the end-to-end build of production AI systems, from RAG pipelines and multi-agent architectures to LLM integration, fine-tuning, and workflow automation. Core Skills: Python/TypeScript/JavaScript LangChain RAG at scale LLM fine ...

systems across internal tooling, developer workflows, and customer-facing products. You'll own the end-to-end build of production AI systems, from RAG pipelines and multi-agent architectures to LLM integration, fine-tuning, and workflow automation. Core Skills: Python/TypeScript/JavaScript LangChain RAG at scale LLM fine ...