LangChain Developer

Role Summary [компания] is looking for a LangChain Developer to build LLM-powered applications using the LangChain framework. You'll design chains, agents, and retrieval pipelines that power intelligent product features. Key Responsibilities - Design and build applications using the LangChain (or LangGraph) framework - Develop chains, agents, and tool integrations for LLM-powered workflows - Build retrieval-augmented generation (RAG) pipelines with vector databases - Test and optimize prompt chains for accuracy and performance - Integrate LangChain applications with back-end systems and APIs - Stay current with updates to the LangChain ecosystem Requirements Requirements - 2+ years of experience in software development, with hands-on LangChain experience - Strong Python skills - Experience with LLM APIs (OpenAI, Anthropic, or open-source models) - Familiarity with vector databases (Pinecone, Weaviate, Chroma, etc.) - Understanding of prompt engineering and RAG architecture Nice-to-Haves - Experience with LangGraph or multi-agent orchestration - Familiarity with LlamaIndex or similar frameworks - Background in NLP or conversational AI Highlights Build LLM-powered apps using LangChain, RAG, vector databases, and AI agent workflows. Originally posted on Himalayas