10 of 10 Permanent CrewAI Jobs in London

microservices architectures React and TypeScript front end development experience Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with ...

Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Deep understanding of modern AI/ML stacks - PyTorch or TensorFlow, Hugging Face, LLM serving infrastructure - and strong familiarity with agentic frameworks (Strands, LangGraph, CrewAI) and how they manage complex, stateful workflows - Strong technical foundation in Python and at least one of Java, Go, or TypeScript, with deep understanding ...

Proven experience designing and productionising RAG pipelines and agentic AI architectures Hands‐on delivery of agent‐based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus ...

ability to explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms (e.g., Qlik ...

experience for bespoke services Nice to Haves B2C mobile app experience Node.js development alongside Python Vector databases such as Chroma and embedding pipelines LangChain, CrewAI, or similar orchestration frameworks Practical security and data-privacy awareness Experience using Linear or similar planning tools Experience with Gemini and/or NanoBanana ...

frameworks where needed. Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models … build, deployment, and handover. Agent & Tool Development Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions. Design ...

delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding … before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Technical Skills Required Proven experience of: Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs ...

alongside Python for services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools … Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly with technical ...

scale a commercial agent ecosystem , enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for Experience building production AI/multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.) Strong Python engineering skills (clean, production ...