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Founding Full-Stack Engineer

EQL Tech

San Francisco, CAFull-time$180–240K/yrPosted 4w agoVerified open 4 days ago
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At a glance

Compensation
$180–240K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Visa required • Visa sponsorship

Job overview

EQL Tech is hiring a Founding Full-Stack Engineer. As a Founding Full-Stack Engineer, you will own the product layer end-to-end, building and owning the real-time pipeline linking wearable hardware to the AI system. This role involves designing and shipping backend APIs and the core data layer, as well as building the frontend/mobile client for customers. You will work directly with the founding team in a small, high-ownership environment.

Key focus areas include Build and own the real-time pipeline linking wearable hardware to the AI system, Design and ship backend APIs and the core data layer, and Build the frontend/mobile client customers use daily.

Successful candidates bring 2-5 Years Shipping Scalable Production Systems End-To-End, True Full-Stack Range, and Backend/API/Data Layer Experience. Important skills include React, Native Bridges, Real-Time Video, Edge Experience, UX Craft, and Agent Pipeline. Preferred (not required): On-Device Experience, Strong Front-End Craft, AI Pipeline, and LLM Pipeline.

Skills & qualifications

RequiredNice to have

Skills

ReactNative BridgesReal-Time VideoOn-Device ExperienceEdge ExperienceStrong Front-End CraftUX CraftAI PipelineLLM PipelineAgent Pipeline

Qualifications

2-5 Years Shipping Scalable Production Systems End-to-EndTrue Full-Stack RangeBackend/API/Data Layer ExperienceFrontend/Mobile ExperienceReal-Time/Low-Latency Systems ExperienceExposure to Hardware-Constrained/on-Device WorkExperience at Early-Stage StartupStreaming Platforms ExperienceHardware-Constrained Domains ExperienceVisa Sponsorship Available

Full job description

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.

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