LangChain Developer

KDCI; Job; Hybrid; USD 120,000 - 180,000; Full time

Job summary

KDCI is seeking a LangChain Developer to build LLM-powered applications using LangChain. You will design chains, agents, and retrieval pipelines that power intelligent product features.

You will work with Python, LLM APIs, and vector databases to optimize prompts and enable robust, scalable workflows. Stay current with LangChain updates and best practices.

Qualifications

• 2+ years of software development experience with hands-on LangChain
• Strong Python skills
• Experience with LLM APIs (OpenAI, Anthropic, or open-source models)
• Familiarity with vector databases (Pinecone, Weaviate, Chroma)
• Understanding of prompt engineering and RAG architecture

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

Skills

Python programming

Prompt engineering

RAG architecture

LangChain framework

LLM APIs

Tools

LangChain

LangGraph

Pinecone

Weaviate

Chroma

LlamaIndex

Job description

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