201 to 218 of 218 Retrieval-Augmented Generation Jobs in England

platform for LLMs and AI applications Develop APIs and tooling for easy AI adoption across teams Orchestrate multi-model and agent-based workflows Implement RAG pipelines and manage vector search systems Ensure strong monitoring, security, and governance Automate deployments using Kubernetes, Terraform, and CI/CD Collaborate with product, security … systems and cloud (GCP preferred) Hands-on Kubernetes and cloud-native tooling Familiarity with LLM frameworks (e.g., LangChain, CrewAI) Experience with vector databases and RAG CI/CD and infrastructure-as-code skills Understanding of AI reliability, monitoring, and governance Why Join Play a key role in building the platform ...

services, and developer tooling that make AI easy to adopt across teams Designing and operating agent-based and multi-model workflows Building and scaling RAG pipelines , retrieval services, and vector search infrastructure Improving the reliability, latency, observability, and cost-efficiency of AI workloads Putting the right security, governance … Experience with LLM applications, AI/ML platforms, or production AI systems Familiarity with agent frameworks , orchestration patterns, or multi-model workflows Experience with RAG , embeddings, vector databases, or retrieval systems Strong CI/CD and infrastructure-as-code skills An understanding of what it takes ...

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 ...

/Claude Code) Strong Plus Experience building agentic workflows that are trusted Experience with LangChain, LangGraph, or similar Experience building with vector databases, embeddings, RAG pipelines Experience with graph databases Experience building simulation, optimisation, or decision-support systems Prior startup or early-stage experience Why Join Us Work on problems … sustainability and your experience of designing data models, architecting platforms and building from zero to one? What do you think about the latest generation of coding LLMs - good, bad, what have you used ...

Design and build cloud-native services in TypeScript and Python on AWS, with real architectural ownership Develop and deploy LLM-based agents, RAG pipelines, and AI workflows that solve genuine business problems Lead prototype demonstrations and translate complex technical decisions for non-technical stakeholders Produce clean, well-tested code across … applications Strong command of TypeScript and Python; experience with microservices, async architecture, and AWS infrastructure Hands-on experience with LLMs, RAG workflows, or agentic systems — and the pragmatism to know when not to use them A confident communicator who can hold their own with senior stakeholders and simplify hard tradeoffs ...

next-generation conversational AI and generative AI platforms. This role focuses on developing production-grade LLM applications, agent-based AI systems and RAG pipelines used in large-scale customer-facing environments click apply for full job details ...

Work closely with stakeholders - listening, probing, and shaping solutions around real needs. Essential Experience Experience automating human-centric processes (approvals, performance workflows, document generation, analytics, etc.). Proven experience building AI agents and multi-step automation flows. Strong hands-on engineering skills (clean, explainable, well-structured code). … Expertise using ChatGPT Enterprise for workflow automation. Skilled in designing prompts, guardrails, and evaluation logic for reliable outputs. Experience building retrieval pipelines (RAG), vector search, or context-aware systems. Comfortable integrating AI systems with APIs and internal platforms. How to Apply If you're an AI Engineer ...

Location Manchester, UK (Hybrid - 3 days per week in office) About ServisBOT ServisBOT is building the next generation of AI-driven enterprise automation for regulated industries — a secure, compliant SaaS platform where AI and humans work together to deliver outcomes our clients can trust. We partner with global … implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key Responsibilities Problem Definition & Discovery (Supported Ownership) Support discovery activities for product initiatives and customer ...

business. Key responsibilities include: • Designing and delivering an AI platform that supports large‐scale agentic automation and end‐to‐end claims journeys • Building robust RAG pipelines, LLM‐based systems, and deployment frameworks • Developing AI agents for claims handling, internal tooling, and customer‐facing chat solutions • Evolving an internal AI assistant … engineering or software engineering with a focus on LLMs and production AI systems • Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling • Hands‐on cloud engineering experience, ideally in GCP and its AI ecosystem • Strong Python engineering ability and experience building production‐grade services ...

business. Key responsibilities include: * Designing and delivering an AI platform that supports large-scale agentic automation and end-to-end claims journeys * Building robust RAG pipelines, LLM-based systems, and deployment frameworks * Developing AI agents for claims handling, internal tooling, and customer-facing chat solutions * Evolving an internal AI assistant … engineering or software engineering with a focus on LLMs and production AI systems * Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling * Hands-on cloud engineering experience, ideally in GCP and its AI ecosystem * Strong Python engineering ability and experience building production-grade services ...

join at the foundational stage, working directly with world‐class engineers and product leaders to build the backend systems behind a next‐generation AI lifestyle platform. This product is already in the hands of deeply engaged early users, with engagement metrics far above industry norms. You will play … delivery of key features—from design to production rollout. Develop background processing systems, task queues, and agent orchestration. Work hands‐on with LLM integrations, RAG pipelines, and AI‐driven systems. Enhance system performance across SQL queries, APIs, and distributed jobs. Build and operate cloud infrastructure on GCP. Lead debugging ...

break into AI properly, not just talk about it? I'm working with a team building real world AI applications using LLMs and RAG and they're open to junior to mid-level developers who've already started exploring this space (even through personal projects). What … doing: Building full stack apps (React/Next.js or Node/NestJS) Working with LLMs (OpenAI, Claude etc.) Developing RAG-based features (smart search, AI-driven tools) Integrating AI into real products used by customers What they're looking for: Solid JavaScript/TypeScript experience Some hands on work with ...

building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world’s largest bank. As an AI Product Manager at the Corporate and Investment Banking operations team, you will leverage … through execution and launch. Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks. Preferred qualifications Advanced degree in Computer Science, engineering, or related field. Experience defining robust evaluation sets and leading teams through quantitative ...

handling real-time calls, conversation routing, bookings, maintenance triage, and integrations with property management platforms. The role covers telephony/voice systems, LLM orchestration, RAG pipelines, and event-driven architecture. It also involves core backend engineering: API integrations, data modeling, webhooks, and production infrastructure that makes the AI work reliably. … driven architectures. Intuitive understanding of how to build systems that scale Experience building and shipping AI agents and LLM-powered systems in production Strong RAG experience; with hands on vector databases (Pinecone, pgvector or similiar) They are based in London with their engineering team operating either hybrid or remote. ⚡ This ...

weekly and fortnightly reporting cycles and create impactful executive Steering Committee packs to keep stakeholders informed and engaged. Maintain Governance Frameworks: Oversee RAID logs, RAG reporting, and essential programme artefacts to ensure structured project oversight. Drive Design Authority Processes: Support or lead Design Authority processes, stage gates, and go/… Delivery Expertise: Familiarity with software delivery programmes and Agile environments (Scrum, Kanban, SAFe) is essential. Governance and Reporting Mastery: You take ownership of RAID, RAG, governance frameworks, and reporting packs, ensuring transparency and clarity. Agile PM Qualification: A must-have to succeed in this role! Stakeholder Engagement: You are confident ...

weekly and fortnightly reporting cycles and create impactful executive Steering Committee packs to keep stakeholders informed and engaged. Maintain Governance Frameworks: Oversee RAID logs, RAG reporting, and essential programme artefacts to ensure structured project oversight. Drive Design Authority Processes: Support or lead Design Authority processes, stage gates, and go/… Delivery Expertise: Familiarity with software delivery programmes and Agile environments (Scrum, Kanban, SAFe) is essential. Governance and Reporting Mastery: You take ownership of RAID, RAG, governance frameworks, and reporting packs, ensuring transparency and clarity. Agile PM Qualification: A must-have to succeed in this role! Stakeholder Engagement: You are confident ...

global user base. Rapidly prototype and ship novel AI interfaces—from voice and chat to multi-modal interactions—that define the next generation of the Phone (3) and Nothing OS experience. Translate experimental AI concepts into robust, production-grade applications using Node.js, Python, and Next.js. Bridge … infinitely more than perfect code that never launches. AI Fluency: You have hands-on experience or a deep curiosity for LLMs, vector databases, and RAG systems, understanding the unique constraints of building with non-deterministic models. Design Sensibility: You care deeply about how things look and feel, knowing that ...

What You'll Do Rapidly prototype and ship novel AI interfaces—from chat and voice to multi-modal interactions—that define the next generation of the Nothing OS experience. Translate wild, experimental concepts into robust, production-grade full-stack applications using Next.js, React, and Node/Python. Optimise … think outside the browser, understanding how web technologies can drive experiences on mobile and embedded systems. Curiosity: You are constantly playing with new tools (RAG systems, agents) not because you have to, but because you want to see what they can do. How We Work We build better tech ...