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# Fullstack Engineer

- **Company:** HireWell
- **Location:** San Francisco Bay Area, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Distributed Systems, Python (Programming Language), TypeScript, Cloud Platform System, Real Time Systems, ReactJS, System Availability, Large Language Models, Backend, Information Technology, Machine Learning Operations, Front End Software Development
- **Published:** September 9, 2026
- **Apply:** https://hirewell.com/jobs/17483102754900016619wxy

## About the Role

* 3+ years of experience in a genuine startup environment, building systems from scratch
 * Strong backend experience (language-agnostic, Python/Go/C++ all welcome) plus modern frontend experience (TypeScript, React)
 * Comfort with distributed systems, containers, and cloud-native infrastructure
 * Fluency with AI-assisted development tools and strong opinions on where they work well
 * A degree in Computer Science or a related field from a strong university
 * A track record of clean, explainable career progression

Logistics

Full-time, fully in-office (5 days per week) at a West Coast Bay Area location. Sponsorship available for exceptional candidates.

## Description

You'll join a lean, high-ownership engineering team building the core systems behind a video intelligence platform processing billions of events daily. This is a full-stack role spanning backend services, frontend interfaces, and AI-native feature development.

In this role, you will:

 * Build and maintain backend services that ingest, process, and serve video and sensor data at scale
 * Ship AI-native features end to end, including natural-language search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision
 * Implement user-facing frontends in TypeScript/React, working closely with product
 * Design scalable APIs and systems that interface with ML pipelines and an edge device fleet
 * Collaborate on infrastructure and architecture decisions from the ground up
 * Tackle problems involving distributed systems, real-time processing, and high availability


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