Fullstack Engineer

Posted 2 Days Ago
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New York City, NY, USA
In-Office
180K-275K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Generative AI
The Role
Build and own ClipBox end-to-end: design and implement fullstack features, scale real-time video tracking and analytics, implement secure payments and payouts, integrate social APIs, ship product iterations, and collaborate closely with product and design.
Summary Generated by Built In
About the Company

General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.

The Role

You'll be part of a lean, high-ownership duo building ClipBox, a new standalone web platform inside Medal, working directly with our General Manager and with oversight from Medal tech leadership. As a true fullstack builder, you'll own projects end-to-end, from idea and UX details to system design, implementation, and launch, including scaling real-time video tracking and analytics across hundreds of thousands of videos, building secure payments and payout workflows, and shipping integrations with social APIs like TikTok, YouTube, and Instagram, with a Discord bot planned as part of the ecosystem. You'll move quickly, iterate with AI coding tools, help make pragmatic stack choices, and have meaningful product and design autonomy.

What We're Looking For
  • 5+ years of fullstack engineering experience

  • Experience with React, Redux, and Node.js

  • In-person: Looking to hire in NYC to contribute alongside the product team. 5 days in the office

  • Ownership & attention to detail: You see things through, and can be responsible for end-to-end quality of complex features

  • Code Performance: Excellent understanding of code performance implications in production and confident with profiling tools

  • Be result-driven: Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularly

  • Bonus: Experience building and shipping your own products from 0 → 1; Java, C#, and C++ experience; a passion for the creator economy, short-form content marketing, and the games industry

Our Stack

Electron, React, Redux, Styled Components & other modern web-based technologies
C# and C++ for native Windows recording & more
Swift for iOS, Kotlin for Android
Java, Redis, RabbitMQ, Kubernetes for backend
Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD

Skills Required

  • 5+ years of fullstack engineering experience
  • Experience with React, Redux, and Node.js
  • In-person: based in NYC, 5 days in the office
  • Ownership and attention to detail; responsible for end-to-end feature quality
  • Strong understanding of code performance and experience with profiling tools
  • Result-driven; metrics and performance oriented
  • Experience building secure payments and payout workflows
  • Experience integrating with social APIs (TikTok, YouTube, Instagram) and platform integrations
  • Experience building and shipping products from 0 -> 1
  • Experience with Java, C#, and/or C++
  • Passion for the creator economy, short-form content marketing, and the games industry
  • Familiarity with Electron, Styled Components, Swift, Kotlin, Redis, RabbitMQ, Kubernetes, Terraform, Salt, GitHub Actions, CircleCI
Am I A Good Fit?
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The Company
41 Employees
Year Founded: 2025

What We Do

General Intuition is an AI research lab and public-benefit corporation building frontier and world models that help machines predict and act in dynamic environments. Using billions of action-labelled gameplay clips from its sister company Medal, the lab trains systems on physics, human decision-making, and consequences. Its mission extends to agentic models, robotics, and AI agents inhabiting real and imaginary worlds.

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