Founding Software Engineer - AI Wearable Platform (Remote)

SourceIn

Auckland

On-site

NZD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Equity included
Fully remote

Job summary

SourceIn is seeking a Founding Software Engineer to help build an AI-powered wearable platform from the ground up. You'll join early, work directly with the founder, and shape the technical foundations of the company while delivering the first version of our wearable-connected software.

This fully remote role requires shipping MVPs, collaborating across frontend, backend, and integrations, and making pragmatic decisions in ambiguity.

Qualifications

  • Experience shipping MVPs or early-stage products.
  • Comfortable working in ambiguity and moving fast without heavy process.
  • Independent problem-solver who doesn't need hand-holding.
  • Clear communicator - direct, proactive, and practical.
  • 3–7+ years of hands-on engineering experience; startup/solo-builder a plus.

Responsibilities

  • Build the first version of a wearable-connected software platform.
  • Develop an early MVP web/laptop app that configures and syncs with the device.
  • Work across frontend, backend, integrations, and infrastructure.
  • Rapidly prototype, test, and iterate on product ideas.
  • Help turn early concepts into a stable, demo-ready product.
  • Act with a founder mindset: ownership, prioritisation, and pragmatic decision-making.

Skills

MVP development
Frontend React
Backend Node.js
Python
APIs
AI integrations
Cloud tooling
Independent problem-solver
Clear communicator

Tools

React
Node.js
Python
APIs
Cloud

Job description

SourceIn is seeking a Founding Software Engineer to help build an AI-powered wearable platform from the ground up. You'll join early, work directly with the founder, and shape the technical foundations of the company while delivering the first version of our wearable-connected software.

This fully remote role requires shipping MVPs, collaborating across frontend, backend, and integrations, and making pragmatic decisions in ambiguity.

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