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.). * 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. If you have a passion for building production-grade AI agents, MCP-based tool ecosystems, and data-rich AI workflows, then this is the perfect role for you! * Designing and building single- and multi-agent production systems with planning, memory, and tool-use capabilities that meet regulated-industry compliance and auditability standards. * Developing agentic workflows using LangChain and LangGraph, with robust prompt engineering, tool-use, and multi-agent coordination patterns.
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