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# Founding Full-Stack Engineer

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Data as a Services, Data Systems, Software Debugging, Mobile Application Software, Python (Programming Language), Node.Js, Software Engineering, Data Streaming, TypeScript, ReactJS, Backend, Information Technology, Low Latency, React Native, Front End Software Development, Virtual Agents, Data Pipelines, Web Api
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_2ae428c155140375b94e8fea63dbecb5

## About the Role

* Two to five years of post-graduate software engineering experience, ideally including early-stage startup work.
 * A track record of shipping complete products from initial build through real user adoption, including backend APIs, data systems, and user-facing applications.
 * Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, and cloud platforms including AWS or GCP.
 * Experience with real-time video, streaming, low-latency systems, mobile applications, or AI integrations in production.
 * Strong architectural judgment, product sense, and the ability to work across frontend, backend, and device systems.
 * A strong computer science or engineering foundation, or an equivalent record of building and shipping software.

## Description

Join an early-stage industrial wearable AI team building real-time tools for field technicians. You will own the product layer across smart glasses, backend services, and companion applications, helping deliver reliable AI assistance in demanding work environments., * Build the end-to-end experience connecting wearable devices, backend services, and companion applications.

 * Develop and optimize real-time video and streaming pipelines to meet low-latency requirements.
 * Own reliable, observable backend APIs and data services that support devices and AI capabilities.
 * Build mobile and desktop clients for setup, monitoring, and workflow configuration.
 * Establish safe deployment and release processes for software running on devices in the field.
 * Shape product architecture and engineering practices as the team grows.
 * Debug issues across frontend, backend, and device integrations.