Education: A Master's degree or higher in Computer Science, Engineering, Statistics, or a related STEM field (or equivalent practical experience). * Developing agentic workflows using LangChain and LangGraph, with robust prompt engineering, tool-use, and multi-agent coordination patterns. * Experience: 5+ years of hands-on software engineering experience, with 2-3 years building AI agents in production environments, ideally for high-stakes or regulated industries (finance, legal, healthcare, etc.). * Python & backend: Expert-level Python skills and strong engineering fundamentals across backend systems, APIs, and data pipelines (FastAPI, Postgres / SQLAlchemy, gRPC, async IO, Databricks, testing). * Engineering fundamentals: Solid understanding of software design principles (SOLID, DRY, KISS), Clean Code, and common architecture patterns; ability to translate them into maintainable production code.
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