problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. • Fine-tune prompts to optimise performance, reliability, and alignment. • Design and implement memory … awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. • GCP/Google Cloud expertise and certifications • Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc • Proven track record designing and More ❯
london, south east england, united kingdom Hybrid / WFH Options
ZipRecruiter
problem-solving. Key Responsibilities: • Rapidly design and develop LLM and agent-based prototypes across varied use cases. • Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. • Implement retrieval-augmented (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. • Fine-tune prompts to optimise performance, reliability, and alignment. • Design and implement memory … awareness of ethical practices. About You: • Expert Python developer with a background in building intelligent, multi-step systems. • Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. • GCP/Google Cloud expertise and certifications • Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc • Proven track record designing and More ❯
in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story’s Agent TCP/IP, Near’s AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about platform More ❯
in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story’s Agent TCP/IP, Near’s AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms. Strategic thinking about platform More ❯
validate new ideas for the venture studio with a focus on AI and web3 technology stacks. We are working with bleeding edge open source technologies such as LangGraph, LangChain, CrewAI, various open source LLMs and blockchains like Starknet, zkSync etc. The ideal candidate is an experienced Machine Learning Engineer that has experience working with various models, in particular LLMs, and More ❯
