Agentic AI Framework Development
Budget: ₹12,500 – ₹37,500 INR
For the next four months I’ll be standing up a new agentic AI framework from scratch and I need another engineer who can slot in part-time, fully remote, and own key components of the build. We’re still in the initial planning stage, so you’ll help set technical direction as much as you’ll write code.
The heart of the work is Agentic AI Development: orchestrating multiple LLM-powered agents, wiring them into Multi-RAG pipelines, and exposing everything through a lightweight React interface. You’ll touch Google’s ADK, LangGraph, MCP servers, and AWS for scalable deployment, so confidence with cloud dev-ops is essential.
Your strongest assets should be: deep LLM expertise, hands-on automation-agent experience, and a track record designing AI systems that scale cleanly under load. If you can translate those skills into production-ready features and iterate quickly with me, you’ll fit right in.
Key deliverables over the contract:
• A modular codebase that spins up agent chains via LangGraph and MCP, tested end-to-end on AWS
• A working Multi-RAG pipeline (vector store + re-ranking) callable by any agent node
• A minimal React front end that surfaces agent outputs for internal stakeholders
• Deployment scripts and documentation so future engineers can extend the platform
Expect weekly syncs, async communication the rest of the time, and plenty of room to experiment with the latest frameworks as long as we keep shipping. If building bleeding-edge agentic systems sounds exciting, let’s talk.
The heart of the work is Agentic AI Development: orchestrating multiple LLM-powered agents, wiring them into Multi-RAG pipelines, and exposing everything through a lightweight React interface. You’ll touch Google’s ADK, LangGraph, MCP servers, and AWS for scalable deployment, so confidence with cloud dev-ops is essential.
Your strongest assets should be: deep LLM expertise, hands-on automation-agent experience, and a track record designing AI systems that scale cleanly under load. If you can translate those skills into production-ready features and iterate quickly with me, you’ll fit right in.
Key deliverables over the contract:
• A modular codebase that spins up agent chains via LangGraph and MCP, tested end-to-end on AWS
• A working Multi-RAG pipeline (vector store + re-ranking) callable by any agent node
• A minimal React front end that surfaces agent outputs for internal stakeholders
• Deployment scripts and documentation so future engineers can extend the platform
Expect weekly syncs, async communication the rest of the time, and plenty of room to experiment with the latest frameworks as long as we keep shipping. If building bleeding-edge agentic systems sounds exciting, let’s talk.