LangChain Developer
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
As published by recruitee · 17 questions
Basics
Full name, Email, CV, Cover letter, Phone
Short answers (5)
- What was your most recent monthly salary?
- What is your expected monthly salary?
- Previous or Current Company
- Most Recent Position
- When are you available for an initial interview? Please let us know your preferred date.
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- Current Location
- What is your highest educational attainment?
- What work setup(s) are you open to? (You may select all that apply)
- Do you have experience working in an outsourcing company?
- When can you start if selected?
- Are you currently employed?
- How many years of professional experience do you have developing LLM-powered applications with LangChain or similar frameworks?
- Which AI frameworks, languages, and LLM technologies are you proficient in? (Select all that apply)
- Which LangChain or LLM application responsibilities have you handled? (Select all that apply)
- Which AI infrastructure and data technologies have you worked with? (Select all that apply)
- Which additional AI experience or practices do you have? (Select all that apply)