151 to 175 of 358 Retrieval-Augmented Generation Jobs in London

Must-Haves: Technical Chops 5+ years software engineering in production environments Strong in Node.js/TypeScript and Python Experience building microservices architectures Hands-on AI/ML integration (LLMs, RAG, agent frameworks) Cloud infrastructure expertise (GCP/AWS/Azure) Real-time systems and async processing experience Leadership 2+ years leading engineering teams (3-10 people) Proven track record hiring More ❯

principles and software testing practices. Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing, VR/AR, or robotics. More ❯

principles and software testing practices. Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing, VR/AR, or robotics. More ❯

principles and software testing practices. Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing, VR/AR, or robotics. More ❯

principles and software testing practices. Experience delivering customer-facing products and supporting the full development lifecycle. Excellent communication, stakeholder engagement, and advisory skills. Desirable Experience with Generative AI, LLMs, RAG, LangChain, or Semantic Kernel. Familiarity with Microsoft Power Platform. Front-end experience with React, Angular, Vue.js, Flutter, or Progressive Web Apps. Exposure to edge computing, VR/AR, or robotics. More ❯

have Azure and be an expert with R&D on generative AI techniques Practical experience with GenAI techniques such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc. Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc. Knowledge of prompt orchestration and optimisation techniques such More ❯

NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem-solving, and analysis skills Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote model development and deployment More ❯

Architect multi-step agent workflows using: Semantic Kernel SDK (C# or Python) Azure OpenAI (GPT-4, function calling, chat completion) Planner and Kernel Memory APIs for reasoning and memory RAG pipelines grounded in enterprise data via Azure AI Search Enterprise Data & AI Services Integration: Azure AI Search (vector indexing, hybrid search) Azure Form Recognizer for document understanding Azure Language Services More ❯

with lightweight, framework‐agnostic patterns is valued. Data & infra: SQL, Redis, managed vector DB, S3‐compatible storage, Docket, Sentry. Patterns: function/tool calling, retrieval‐augmented generation (RAG), structured outputs, self‐checks, retries/backoffs, circuit breakers, streaming, KV/cache management. Performance: batching, token/latency/cost monitoring, provider fallbacks, model selection … outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve the quality of existing LLM outputs More ❯

with lightweight, framework‐agnostic patterns is valued. Data & infra: SQL, Redis, managed vector DB, S3‐compatible storage, Docket, Sentry. Patterns: function/tool calling, retrieval‐augmented generation (RAG), structured outputs, self‐checks, retries/backoffs, circuit breakers, streaming, KV/cache management. Performance: batching, token/latency/cost monitoring, provider fallbacks, model selection … outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve the quality of existing LLM outputs More ❯

with lightweight, framework‐agnostic patterns is valued. Data & infra: SQL, Redis, managed vector DB, S3‐compatible storage, Docket, Sentry. Patterns: function/tool calling, retrieval‐augmented generation (RAG), structured outputs, self‐checks, retries/backoffs, circuit breakers, streaming, KV/cache management. Performance: batching, token/latency/cost monitoring, provider fallbacks, model selection … outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve the quality of existing LLM outputs More ❯

with lightweight, framework‐agnostic patterns is valued. Data & infra: SQL, Redis, managed vector DB, S3‐compatible storage, Docket, Sentry. Patterns: function/tool calling, retrieval‐augmented generation (RAG), structured outputs, self‐checks, retries/backoffs, circuit breakers, streaming, KV/cache management. Performance: batching, token/latency/cost monitoring, provider fallbacks, model selection … outputs, context management. Comfortable designing APIs, writing tests, instrumenting systems, and debugging failures across model/provider boundaries. Nice to have Experience with LangChain/LangSmith, Orq.ai, LlamaIndex, DSPy, RAG, Guardrails/Outlines/Instructor. Vector DBs, embeddings, and data pipelines. First 90 days - example outcomes Review and improve existing core Agentic workflows Improve the quality of existing LLM outputs More ❯

pipelines to deliver real business impact. Key Skills (Must-Have): Agent-based GenAI app development using Python Prompt engineering and FastAPI AI/ML model development RAG (Retrieval-Augmented Generation) with Vector Databases Strong understanding of Azure Cloud Services , Azure AI Search , and ADI (text, table & image processing) Proficiency with LangGraph and LangChain frameworks More ❯

public and private sector clients. Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI More ❯

to public and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI More ❯

Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful More ❯

Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful More ❯

build, ship, and take responsibility. Proven Builder – 2+ years as an engineer with a track record of fast, production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/ More ❯

build, ship, and take responsibility. Proven Builder – 2+ years as an engineer with a track record of fast, production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/ More ❯

build, ship, and take responsibility. Proven Builder – 2+ years as an engineer with a track record of fast, production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/ More ❯

build, ship, and take responsibility. Proven Builder – 2+ years as an engineer with a track record of fast, production-grade code shipping. AI Native – You’ve built with LLMs, RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/ More ❯

decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3–6+ years building production mobile apps (React Native), with shipped apps. Strong React Native proficiency (Expo More ❯

decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3–6+ years building production mobile apps (React Native), with shipped apps. Strong React Native proficiency (Expo More ❯

decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3–6+ years building production mobile apps (React Native), with shipped apps. Strong React Native proficiency (Expo More ❯

decisions. Own operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3–6+ years building production mobile apps (React Native), with shipped apps. Strong React Native proficiency (Expo More ❯