Senior Agentic AI Builder

• Agentic AI implementation experience in production setting


• A2UI and AGUI experience


• Know-how of AI-driven/Agentic SDLC


• Python - Expert-level proficiency; ability to write production-quality async code, work with complex class hierarchies, and debug multi-layer systems


• LangGraph / LangChain - Hands-on experience building stateful, multi-step AI agent workflows with tool calling, checkpointing, and conditional routing


• RAG - Practical experience implementing retrieval-augmented generation pipelines for context-aware AI applications


• MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data communication