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.