Design and build production-ready AI agents and infrastructure for hardware engineering workflows. Implement context management, indexing, and post-training; interpret and manipulate complex engineering design data; integrate with enterprise tools; collaborate with customers; prototype and ship solutions; influence architecture and engineering culture.

Build and own backend services, APIs, and data pipelines powering an AI automation engine for enterprise hardware engineering. Implement scalable, secure infrastructure for high-volume LLM calls, design-tool integrations (PLM, CAD, CAE), document and design data ingestion, and work directly with founders and customers to rapidly prototype and ship production features.

Own and improve the regulatory data library: research, collect, and ensure completeness and accuracy across industrial verticals. Design AI-driven data collection workflows, ramp into unfamiliar industries, collaborate on methodology and quality, and support demos and pilots to enable product expansion.