Founding Full-Stack Engineer

About the Role

Join an early-stage industrial AI team building wearable AI products for field technicians working in critical infrastructure. You will own the product layer around the AI core, connecting wearable devices, cloud services, and companion clients into a reliable end-to-end experience.

What You'll Do

• Ship the complete product experience across smart glasses, backend services, and companion applications.

• Build cloud components for real-time video ingestion, APIs, and storage.

• Develop reliable, observable backend APIs and data services used by devices and AI systems.

• Create mobile and desktop tools for device setup, monitoring, and workflow configuration.

• Establish deployment and release workflows for safely updating hardware in the field.

• Set product architecture and engineering practices that can scale with the team and customer needs.

• Debug issues across frontend, backend, and device integrations to unblock delivery.

What We're Looking For

• Two to five years of post-graduate software engineering experience, ideally including early-stage startup work.

• Experience building and shipping a product end to end, including backend APIs, data layers, and a user-facing web or mobile client.

• Strong full-stack skills with modern cloud platforms and tools such as AWS, GCP, Supabase, or Railway.

• Ability to make sound architectural decisions independently and build scalable systems from an early stage.

• Experience with real-time video, streaming, or low-latency systems is valuable.

• Experience shipping AI pipelines, mobile applications, or polished frontend and UX work is a plus.

• Background in wearable technology, industrial systems, edge computing, or infrastructure applications is helpful.

Compensation & Benefits

Base salary: $180,000 to $240,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, United States, five days per week.