Job description

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

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