Founding Full-Stack Engineer
About this role
We're looking for a full-stack engineer with 2–5 years of experience who can make scalable architectural decisions and own the product layer around our AI core. You should be comfortable building real-time video pipelines, backend APIs, and mobile/desktop clients for industrial-facing wearable AI products. Bonus points if you have experience with video-heavy platforms, low-latency systems, or industrial domain exposure.
What you'll do:
Ship the end-to-end product experience: smart glasses ↔ backend ↔ companion app that real customers can use without an engineer present
Build and optimize the real-time video/streaming pipeline connecting glasses to the AI core within tight latency budgets
Own the backend APIs and data layer that the glasses and AI services depend on — reliable, observable, and scalable to early customer load
Build the mobile/desktop client for setup, monitoring, and workflow configuration
Stand up the deployment and release path so new builds reach hardware in the field safely
Define product architecture and engineering practices as the team scales — making smart, scalable decisions early that won't need to be reworked
Be the cross-stack generalist who unblocks the team: debug from frontend through backend to device
Company at a glance
Alcor is a technology company that builds wearable AI for field technicians, providing real-time guidance and on-device decision support. Its scalable deployments in data centers and energy infrastructure underscore reliability and enterprise focus.
Know someone who'd be great for this?