Founding Full-Stack EngineerOn-site · Engineering, Product & Tech · Full time San Francisco, California, United StatesOur client is a stealth, seed-stage startup building an AI-powered wearable platform for industrial field technicians - running a real-time computer-vision and agentic AI system directly on smart-glasses hardware, live today with major data-center, energy, and industrial customers across multiple countries. Backed by a $5M seed round and founded by researchers from Harvard/NASA (computer vision, published at NeurIPS and ICCV) and MIT (machine learning, ex-quant researcher).The bet: computer vision and agentic vision-language models (VLMs) grounded in real integrations with legacy enterprise systems (ServiceNow, SAP, Salesforce) — not another LLM wrapper. The industrial data this generates is also laying the groundwork for robotics automation down the line.As Founding Full-Stack Engineer, you'll own the product layer end-to-end: the real-time video/data pipeline connecting wearable hardware to the AI core under tight latency budgets and unreliable connectivity, the backend APIs and data layer, and the frontend/mobile client customers actually touch.What you'll doBuild and own the real-time pipeline linking wearable hardware to the AI systemDesign and ship backend APIs and the core data layerBuild the frontend/mobile client customers use dailyWork directly with the founding team in a small, high-ownership environmentLocation & cultureFully on-site in the SF Bay Area. The founding team lives and works together for the first several months in a shared house before moving to a standard office - expect an intense, in-person, roughly 9-9-6 pace. Hours flex for exceptional, senior talent; the priority is getting the right person, not saving on salary.RequirementsEssential2–5 years shipping scalable production systems end-to-end, ideally at an early-stage startupTrue full-stack range: backend/API/data layer AND frontend/mobile (React, React Native with native bridges)Real-time/low-latency systems experience — either streaming platforms (e.g. Twitch, YouTube, Mux, Cloudflare, Agora, LiveKit) or hardware-constrained domains (drones, robotics, autonomous driving)Some exposure to hardware-constrained/on-device workParticularly valuableReal-time video specificallyOn-device/edge experienceStrong front-end/UX craftHas shipped an AI/LLM/agent pipeline into productionBenefitsCompensation & benefitsBase: $180K–$240KEquity: 0.25%–0.75%Visa sponsorship available (O-1, TN, E-3, H-1B1, H-1B transfer, F-1 OPT/STEM OPT)How to apply: submit your resume and a brief note on the most real-time/latency-sensitive system you've shipped.
Founding Full-Stack Engineer
On-site · Engineering, Product & Tech · Full time San Francisco, California, United States
Our client is a stealth, seed-stage startup building an AI-powered wearable platform for industrial field technicians - running a real-time computer-vision and agentic AI system directly on smart-glasses hardware, live today with major data-center, energy, and industrial customers across multiple countries. Backed by a $5M seed round and founded by researchers from Harvard/NASA (computer vision, published at NeurIPS and ICCV) and MIT (machine learning, ex-quant researcher).
The bet: computer vision and agentic vision-language models (VLMs) grounded in real integrations with legacy enterprise systems (ServiceNow, SAP, Salesforce) — not another LLM wrapper. The industrial data this generates is also laying the groundwork for robotics automation down the line.
As Founding Full-Stack Engineer, you'll own the product layer end-to-end: the real-time video/data pipeline connecting wearable hardware to the AI core under tight latency budgets and unreliable connectivity, the backend APIs and data layer, and the frontend/mobile client customers actually touch.
What you'll do
- Build and own the real-time pipeline linking wearable hardware to the AI system
- Design and ship backend APIs and the core data layer
- Build the frontend/mobile client customers use daily
- Work directly with the founding team in a small, high-ownership environment
Location & culture
Fully on-site in the SF Bay Area. The founding team lives and works together for the first several months in a shared house before moving to a standard office - expect an intense, in-person, roughly 9-9-6 pace. Hours flex for exceptional, senior talent; the priority is getting the right person, not saving on salary.
Requirements
Essential
- 2–5 years shipping scalable production systems end-to-end, ideally at an early-stage startup
- True full-stack range: backend/API/data layer AND frontend/mobile (React, React Native with native bridges)
- Real-time/low-latency systems experience — either streaming platforms (e.g. Twitch, YouTube, Mux, Cloudflare, Agora, LiveKit) or hardware-constrained domains (drones, robotics, autonomous driving)
- Some exposure to hardware-constrained/on-device work
Particularly valuable
- Real-time video specifically
- On-device/edge experience
- Strong front-end/UX craft
- Has shipped an AI/LLM/agent pipeline into production
Benefits
Compensation & benefits
- Base: $180K–$240K
- Equity: 0.25%–0.75%
- Visa sponsorship available (O-1, TN, E-3, H-1B1, H-1B transfer, F-1 OPT/STEM OPT)
How to apply: submit your resume and a brief note on the most real-time/latency-sensitive system you've shipped.
Sales & Engineering professionals: unlock your potential with roles perfect for you.The AI hiring market is evolving fast, and the right opportunity can take your career to the next level.At EQL Tech, we connect the top 1% of Sales, GTM & Engineering talent with the most ambitious and innovative AI-native early-stage startups and rapidly scaling tech powerhouses.Your next step starts here. Let’s make it count.
Sales & Engineering professionals: unlock your potential with roles perfect for you.
The AI hiring market is evolving fast, and the right opportunity can take your career to the next level.
At EQL Tech, we connect the top 1% of Sales, GTM & Engineering talent with the most ambitious and innovative AI-native early-stage startups and rapidly scaling tech powerhouses.
Your next step starts here. Let’s make it count.
