Founding Engineer

This is the first engineering hire at an early-stage AI company building systems that make hardware engineering move at the speed of software. You’ll partner directly with the co-founder and CTO to own the full technical stack - from architecture through production - and your work will directly shape how defense and medical device companies ship products faster., * Design and build the core architecture that integrates AI agents with CAD, CAE, and PLM tools, while meeting the security requirements of defense and medical customers.

• Own end-to-end engineering execution: design decisions, production delivery, observability, eval suites, regression testing, and on-call operations.
• Ship your first production AI workflow into a live customer program - one that engineers use weekly and depend on daily.
• Build evaluation and training loops that improve the system from simulation runs, test data, engineer corrections, and field outcomes, including reinforcement learning grounded in real physics.
• Sit alongside engineers at partner companies, identify where the system fails under real deadlines, and convert those learnings into platform capabilities.
• Contribute to roadmap decisions and execute on them reliably inside active engineering programs.
• Scale the platform across multiple operating companies and help build and mentor the small team that follows you.

• 4+ years shipping software in production, including systems that real customers depended on daily.
• Proven track record deploying LLM agent workflows that call real tools, handle failure gracefully, and are held to rigorous eval suites.
• Strong Python and backend or ML systems engineering skills; comfort picking the right tool for the job.
• Hands-on experience with observability, evaluation frameworks, regression testing, and on-call operations for production AI systems.
• Ability to design and honestly judge evaluations - knowing when to reach for retrieval, fine-tuning, RL, or plain software.
• Excellent communicator who can earn trust on a shop floor and absorb domain expertise from experienced engineers.
• Comfortable with regular travel to partner facilities and working in-person in New York City.
• Nice to have: experience with CAD, CAE, EDA, or PLM tools; background in frontier AI, robotics, autonomous systems, or industrial software; prior RL or fine-tuning in production.