Staff Fullstack Engineer: Own & Build Core AI Platform

Surge AI; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Surge AI is seeking a Staff Fullstack Engineer to design and build the core systems powering our platform. You’ll own frontend product decisions and backend architecture for high-impact workflows, with autonomy and a strong product focus.

You’ll collaborate with ML practitioners and engineers from top tech companies to build fast, reliable tools for AI training pipelines, data collection, labeling, and evaluation. 7+ years of experience preferred.

Qualifications

• 7+ years of experience building and shipping production software.
• Demonstrated experience leading projects with significant scope and ambiguity.
• Strong fullstack background building and maintaining applications using React/TypeScript and Python or Ruby on Rails.
• Product-focused mindset: you care deeply about usability, performance, and maintainability, and you ship features that solve real-world problems.
• Autonomous self-starter: you thrive in a small team environment and take ownership from idea to production.
• Excellent communication skills: you can clearly explain technical decisions and trade-offs to other senior engineers.
• Startup experience (early-stage engineer or founder experience strongly preferred).
• CS degree from a top school or equivalent STEM background

Responsibilities

• Design and build core fullstack systems that power Surge’s platform.
• Own frontend product decisions and backend architecture for high-impact workflows.
• Build scalable systems for data collection, labeling, and evaluation.
• Create fast, reliable, and intuitive tools used by the world’s leading AI labs.
• Take ownership from idea to production, iterating quickly while maintaining a high bar for quality.

Skills

React/TypeScript

Python

Ruby on Rails

Frontend architecture

Backend architecture

Technical leadership

Communication

Startup experience

Education

CS degree

Job description

Surge AI is seeking a Staff Fullstack Engineer to design and build the core systems powering our platform. You’ll own frontend product decisions and backend architecture for high-impact workflows, with autonomy and a strong product focus.

You’ll collaborate with ML practitioners and engineers from top tech companies to build fast, reliable tools for AI training pipelines, data collection, labeling, and evaluation. 7+ years of experience preferred.