Were looking for a full-stack engineer with 25 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 youll 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 wont 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) ORearly 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.
Full-stack ability on amodern startup stack(AWS Supabase Railway GCP ...).
Fontend / Design / UX craft
Experience shippingmobile 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
Required Skills:
Python Agentic AI LLM AWS GCP
Required Education:
BS in engineering (EE preferred any engineering accepted
AI Talent Now Job #ZR 79Were looking for a full-stack engineer with 25 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-f...
AI Talent Now Job #ZR 79
Were looking for a full-stack engineer with 25 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 youll 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 wont 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) ORearly 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.
Job Location:
Monthly Salary:
Experience Required:
Posted on:
Vacancies:
