AI & Automation
Hire LangChain Developers
LangChain developers build language model applications, such as document question answering and multi-step workflows, using LangChain and LangGraph.
The role
What LangChain developers do
A LangChain developer connects models, prompts, retrievers, vector stores and tools into pipelines, uses LangGraph for stateful workflows, and traces runs to debug quality. A good one also knows when plain code is simpler than a framework abstraction.
Typical deliverables
- Retrieval-augmented generation apps
- LangGraph workflows and agents
- Document loading and chunking pipelines
- Tracing and evaluation with LangSmith
- APIs serving LLM features
Tools you will see
- LangChain
- LangGraph
- LangSmith
- Vector databases
- Python or TypeScript
Choosing
How to choose LangChain developers
What to look for
- Deployed apps, not only framework tutorials.
- Evaluation of retrieval and answer quality.
- Understanding of the framework's abstractions and their limits.
- Tracing used to debug failures.
Questions to ask
- 1Why use LangChain here instead of calling the model directly?
- 2How do you choose chunk sizes for documents?
- 3How do you evaluate retrieval quality?
- 4How do you debug a wrong answer?
Planning
Before you post the job
Framework or custom code
LangChain speeds up some patterns but adds dependencies. Ask candidates to justify it for your project.
What drives cost
Data sources, workflow complexity, evaluation, and hosting and model usage.
Hiring on Open Lance
- Posting a job and reviewing proposals are free.
- Each milestone is funded into escrow before work starts and paid when you approve it.
- Hire fixed-price, hourly, as a monthly Dedicated Hire, or buy a packaged Drop-In.
- Client fees are shown before you pay and added on top of the work.
FAQ
Questions about hiring LangChain developers
What is RAG?
Retrieval-augmented generation: finding relevant documents first, then asking the model to answer using them.
LangChain or LlamaIndex?
Both support retrieval apps. LlamaIndex focuses on data and retrieval; LangChain covers broader workflows.
What is LangGraph?
A library for building stateful, multi-step LLM workflows and agents with explicit control flow.
Related
Related skills
Post a job for LangChain developers
Describe the work and compare proposals. You only fund the first milestone once you have chosen someone.