Design, implement, and own multi-step agentic flows using LangChain, LangGraph, and similar.
Build tools, agents, and chains that connect to live data sources (APIs, databases, time-series feeds)
Integrate LLMs (Claude, GPT, Gemini, etc') into reliable, observable pipelines
Own prompt engineering, context management, and output validation
Experience working in large-scale and big data environments
Deploy and monitor AI services on AWS or Azure
Instrument flows with logging and tracing so we can debug and improve them
Build React interfaces that surface AI outputs: summaries, alerts, recommendations, and interactive co-pilot features
Connect frontend components to streaming AI responses
Write clean, maintainable TypeScript code

6+ years of full-stack development experience
Hands-on, production-grade experience with LangChain and LangGraph or similar agentic orchestration in production, not just tutorials
Strong Python for AI/backend work and TypeScript/React for frontend
Experience integrating LLMs via API (Bedrock, GCP Agent Platform, or similar)
Familiarity with vector stores, RAG pipelines, and structured output parsing
Comfort working in a fast-moving startup environment where you own your features end-to-end

AI Developer

Key skills