6 of 6 Permanent LlamaIndex Jobs in London

hands-on experience building models and data pipelines Proven experience working with Generative AI (LLMs, prompt engineering, embeddings) Experience using frameworks such as LangChain, LlamaIndex, or similar Experience integrating with model APIs (e.g. OpenAI or open-source alternatives) Exposure to cloud environments (AWS, GCP or Azure) Strong problem-solving skills ...

Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model Context ...

systems Required Skills & Experience Strong experience with Python and/or Node.js in production environments Hands-on expertise with LLM frameworks: LangChain, LlamaIndex Deep experience with PyTorch for model training and fine-tuning Proven experience with vector databases: Pinecone. Azure Vector Store Experience building voice-enabled AI systems using: Whisper ...

tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information ...

growth and engineering practice maturity → AI strategy conversations directly with senior partners and clients. Tech stack: Next.js · Node.js/Express · Azure · MS SQL · MongoDB · LlamaIndex · BullMQ · Redis · Microsoft Fabric · Power BI · GitHub Actions Who this is for: A senior or staff engineer ready for full ownership. You've shipped production ...

significant leadership roles involving solution architecture, team management, and project delivery. GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi-agent collaboration). ...