How Remote uses LangChain and LangGraph to onboard thousands of customers with AI

The global employment platform Remote built a Code Execution Agent to automate the migration of customer HR and payroll data. This agent, developed using LangChain and LangGraph, separates LLM reasoning from deterministic code execution to overcome challenges like context window limits and hallucinations. The system uses an LLM to plan the data transformation steps, which are then executed by Python code with libraries like Pandas in a secure sandbox. This hybrid approach enables Remote to reliably and scalably convert diverse data formats into a consistent JSON schema, significantly speeding up customer onboarding.