Skill specialists

Hire LangChain Developers

Browse engineers who build LLM-powered applications, RAG systems, and AI agents using LangChain and LangGraph — with real production deployments, not just demos.

Manually reviewed
Remote worldwide
All engagement types
LLM Application Developer AI Agent Engineer RAG Pipeline Specialist LangGraph Workflow Developer Conversational AI Engineer

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Dhawal Umesh

Dhawal Umesh

Mid-level
Chicago, United States (UTC-6) Full Time Rate on request
AI & Machine Learning Engineers Automation & AI Workflows
Uriel

Uriel

Senior
Toronto, Canada (UTC-5) Full Time, Part Time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
Khaleelur

Khaleelur

Entry-level
Kolkata, India (UTC+5:30) Part Time, Full-time Rate on request
ML (Machine Learning) Computer Vision
python machine learning deep learning sql scikit-learn +5
Khandu

Khandu

Junior
Kolkata, India (UTC+5:30) Full-time, Contract-to-hire Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
Viren

Viren

Junior
Kolkata, India (UTC+5:30) Full Time, Part Time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Laura

Laura

Senior
Chicago, United States (UTC-6) Part-time, Freelance Rate on request
Automation & AI Workflows AI Implementation & Consulting
supabase node.js python langchain langgraph +5
Yash

Yash

Senior
Kolkata, India (UTC+5:30) Full-time, Contract Rate on request
Automation & AI Workflows
Mohsin

Mohsin

Senior
New York, United States (UTC-5) Full-time, Freelance Rate on request
Automation & AI Workflows AI Product & Strategy
Aditya

Aditya

Senior
Kolkata, India (UTC+5:30) Full-time, Part-time Rate on request
AI & Machine Learning Engineers Data Science & Analytics
Diego

Diego

Senior
Bogota, Colombia (UTC-5) Full-time Rate on request
NLP & Prompt Engineering Automation & AI Workflows

Hiring guide

Why companies hire LangChain experts

LangChain has become the go-to framework for building LLM applications — from simple chatbots to complex agentic workflows. Engineers with LangChain expertise can accelerate your LLM product development significantly.

Popular projects

  • Build a document Q&A system over your knowledge base
  • Create an AI agent that uses your APIs and tools automatically
  • Develop an LLM-powered customer support or sales assistant
  • Automate multi-step workflows with AI decision-making

What to look for

  • Hands-on production LangChain experience (not just tutorials)
  • Knowledge of LangGraph for agent orchestration
  • Understanding of retrieval strategies, chunking, and embedding models

Frequently asked questions

What can a LangChain developer build for my company?

LangChain developers build RAG systems (AI that answers questions from your documents), AI agents that use tools, LLM-powered chatbots, and automated workflows that combine multiple AI models.

Is LangChain the right choice for my AI project?

LangChain is well-suited for rapid LLM app development. For simple use cases, engineers often build custom solutions. Ask your candidate about their decision framework — strong developers know when to use LangChain and when not to.

Should I hire a LangChain developer or a general ML engineer?

For LLM applications and RAG systems: a LangChain developer. For model training, fine-tuning, or classical ML: an ML engineer. Many engineers cover both, but specialisation matters for complex LLM product builds.

What is LangGraph and do I need it?

LangGraph is LangChain's framework for building stateful, multi-step AI agent workflows. If your product needs agents that plan, use tools, and loop until a goal is reached, LangGraph is the right tool. Ask your LangChain candidate if they have LangGraph production experience.

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