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Himalayas · Partner listing

LangChain Developer

KDCI

⌖ WorldwideSalary not providedRemoteNot specified · Full-time

Source: Himalayas ↗

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Worldwide

About the role

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 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

Skills mentioned in the listing

PythonNatural language processing

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · requirement-context
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,

Natural language processing · mentioned
chestration 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 post