Founding Engineer, Applied AI

Join an early-stage AI/ML team building automation software for complex manufacturing and hardware engineering. You will help shape the core product, technical architecture, and engineering culture while delivering AI systems for real-world engineering workflows.

• Design and build core workflows and infrastructure for AI agents used in hardware engineering, including context management, indexing, and post-training systems.

• Develop AI agents and machine learning models that interpret, reason over, and manipulate complex engineering design data.

• Work with customers and teammates to deliver reliable, intuitive AI workflows for production use.

• Prototype ideas with users and ship improvements from initial concept through deployment.

• Help shape engineering practices, architecture, and the product roadmap as an early technical hire.

On-site in San Francisco, California, United States.

• Two to six years of experience in applied machine learning, backend engineering, or AI infrastructure, or exceptional new graduates with strong fundamentals.

• Strong familiarity with LLM architectures and current agent research.

• Experience building production machine learning or AI systems, including practical search and information retrieval work.

• Strong Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.

• A bachelor's degree or higher in computer science, machine learning, or an equivalent field.

• Experience with geometric data, CAD systems, or impactful AI research is a plus.

• A builder mindset, with the ability to move quickly from ideas to production and a focus on customer experience.

Base salary range: $180,000 to $250,000 annually. Visa sponsorship is available.