LangChain/Graph AI Agent Build

Over the next two months I’m expanding our SaaS platform with production-ready AI agents. The core stack is already in place—Docker, AWS (S3 + ECS), React, LangGraph, LangChain, CrewAI and heavy use of Cursor AI for workflow acceleration. Where I need the most help is in hands-on AI agent development: designing, coding and testing specialized agents that handle customer-service conversations as well as AR/AP processing.

What success looks like
• Robust LangChain/LangGraph agent architectures
• Customer-service, AR/AP Agent AI Build
• Clean, containerised code with unit tests while working with the my team to extend it after the engagement
• Daily coding and demo sessions on Zoom and async


Tech environment
AWS, S3, Lambda, React, LangChain 0.1+, LangGraph, CrewAI, Postgres and the Cursor AI IDE.

Timeline & cadence
Kick-off as soon as we agree on scope; two months of focused build time, shipping to code weekly. Frequent code reviews keep quality high and surprises low.

If you have 2–5 years of solid experience crafting LangChain/LangGraph or similar agents and can navigate Cursor AI fluidly, let’s move fast.