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Technology

LangChain Developer

KDCI

Recruitee
Location
Pasig City, Philippines, Philippines
Type
fulltime_permanent
Salary
Salary not specified
Posted
20 Jul 2026
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
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