101 to 125 of 269 Retrieval-Augmented Generation Jobs in London

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong ...

Permanent Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

Permanent Required Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face ...

Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval-Augmented Generation) systems and integrate them into business processes. Integrate OpenAI GPT models , embeddings, and vector stores into production-grade solutions. … What We’re Looking For Strong experience building AI/LLM solutions on Azure AI , Azure ML, or similar cloud environments. Practical experience implementing RAG pipelines , embeddings, and vector search. Exposure to agent-based architectures and workflow orchestration. Solid Python engineering skills, including familiarity with ML frameworks and LLM toolchains. ...

Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval-Augmented Generation) systems and integrate them into business processes. Integrate OpenAI GPT models , embeddings, and vector stores into production-grade solutions. … What We’re Looking For Strong experience building AI/LLM solutions on Azure AI , Azure ML, or similar cloud environments. Practical experience implementing RAG pipelines , embeddings, and vector search. Exposure to agent-based architectures and workflow orchestration. Solid Python engineering skills, including familiarity with ML frameworks and LLM toolchains. ...

Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction, interfacing with data teams Experience or strong curiosity working with Azure and Azure Databricks ...

engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction, interfacing with data teams Experience or strong curiosity working with Azure and Azure Databricks ...

production code practices) alongside practical TypeScript experience for bot or workflow integrations. Hands-on experience with LLM or conversational-AI systems , including model APIs, RAG patterns, or agent frameworks. Solid Kubernetes and Docker skills , with at least one real production service shipped in containers. Good command of SQL and data ...

production code practices) alongside practical TypeScript experience for bot or workflow integrations. Hands-on experience with LLM or conversational-AI systems , including model APIs, RAG patterns, or agent frameworks. Solid Kubernetes and Docker skills , with at least one real production service shipped in containers. Good command of SQL and data ...

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 ...

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 ...

high-impact projects while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed ...

high-impact projects while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed ...

with technical and business teams to identify pain points and architect high-impact AI-driven solutions. Build and deploy production-grade systems leveraging LLMs, RAG pipelines, multi-component AI programs (MCPs), and agent frameworks. Conduct applied research to solve novel, previously unseen problems — bringing cutting-edge innovation from concept ...

with technical and business teams to identify pain points and architect high-impact AI-driven solutions. Build and deploy production-grade systems leveraging LLMs, RAG pipelines, multi-component AI programs (MCPs), and agent frameworks . Conduct applied research to solve novel, previously unseen problems — bringing cutting-edge innovation from concept ...

tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ...

tools, and enterprise connectors. Skills: 6–8 years in Software/application engineering, AI engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ...

Bicep/Terraform is a plus). Agentic AI & LLMs: practical delivery of agents (eg, task planning, tool calling) and LLM apps (chat, summarisation, RAG, structured outputs). Engineering excellence: CI/CD, automated testing, code reviews, observability, and secure development practices. Nice to have Experience with Azure OpenAI ...

company, roles range from founding engineer positions to senior hires in fast-growing teams. What you’ll work on LLM features in production (RAG, evals, document workflows, agent-style automation) API-first platforms and data-heavy systems that power AI products End-to-end delivery: architecture, build, deploy, iterate with ...

company, roles range from founding engineer positions to senior hires in fast-growing teams. What you’ll work on LLM features in production (RAG, evals, document workflows, agent-style automation) API-first platforms and data-heavy systems that power AI products End-to-end delivery: architecture, build, deploy, iterate with ...

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...

autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain, co-pilots, agentic workflows) Curiosity and eagerness to learn in a fast-moving AI landscape Experience collaborating with stakeholders and translating business problems into technical ...