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Founding Full Stack Engineer

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AI Talent Now Job #ZR 79

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



Requirements

Seniority

2 -​ 5 years of experience post-​grad SWE,​ ideally early-​stage startup exposure.​


Work experience

Built and shipped scalable systems zero-​to-​one with real user traction,​ owning the WHOLE APP end-​to-​end — backend + APIs + data layer AND the frontend/mobile client a real user touches (backend-​only specialists route to Founding Engineer).​

Founding engineer (#1-​5) OR early startup experience that shipped OR intense-​culture company (Tesla,​ SpaceX,​ Anduril,​ top YC)

Big-​company tenure (Meta Reality Labs,​ Snap,​ Apple Vision,​ Google,​ big streaming infra) is a BONUS only when on a directly-​relevant team (AR/smart-​glasses,​ real-​time video/streaming,​ on-​device/edge ML) OR paired with a builder signal (founder / early-​startup / side projects / OSS).​ A long single big-​tech tenure with no builder signal and no relevant-​team work is a NEGATIVE.​

Real-​time video,​ streaming,​ or low-​latency pipeline experience (YouTube,​ Twitch,​ Cloudflare,​ Mux).​

Shipped AI pipelines into a product (LLM/agent integration)


Education

Strong CS/Eng background OR demonstrated equivalent shipping record.​

Grit proxies:​ olympiad medals,​ USACO Platinum,​ competitive programming rank,​ or founded-​while-​studying.​


Hard skills

Full-​stack ability on a modern startup stack (AWS,​ Supabase,​ Railway,​ GCP,​ .​.​.​).​

Fontend / Design / UX craft

Experience shipping mobile applications (iOS,​ Android,​ or strong React Native with native bridges).​


Soft skills

Makes mature,​ scalable architectural decisions independently.​


Miscellaneous

Hacker house (live on site) ideal;​ minimum on-​site 5 days/week in SF



Skills

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See also

Full-Stack jobs by country — openings, pay and top skills →