LangChain Developer
- Role
- AI / ML
- Experience
- Mid
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No BS summary
LangChain developer with 2+ years in software development, strong Python, hands-on LangChain, LLM APIs, vector databases, prompt engineering, and RAG. Remote role building chains, agents, tool integrations, and retrieval pipelines.
Core skills
Required skills
Optional skills
Role Summary KDCI Outsourcing 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 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
What you'll do
- 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
What they require
- 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
- Preferred: Experience with LangGraph or multi-agent orchestration
- Preferred: Familiarity with LlamaIndex or similar frameworks
- Preferred: Background in NLP or conversational AI