Software Engineer

TL;DR - We’re looking for world-class software engineers to help build the world’s first AI-native university.

where every student learns with their own private AI professor - no teachers, no lectures.

About Masterschool

Masterschool is an applied education research lab on a mission to unlock human potential. We’re building the school of the future: an AI-native institution that’s an order of magnitude more effective than traditional education.

This school won’t just solve the Two Sigma Problem and deliver a truly personalized, world-class education - it will make that education accessible to everyone, regardless of background or circumstance.

We’re a group of educators, researchers, and engineers building software and models at the edge of what’s possible - with the goal of improving the lives of billions.

You can see our work in action here.

Software engineer

As a software engineer, you’ll join the core team that builds the foundation of Maestro.

It’s 0→1 work - fast, focused, and hands-on. You’ll tackle deep technical challenges, design systems from first principles, and help push the limits of what’s possible.

It’s intense, but also deeply rewarding - the joy of building real things, from the ground up, with people who care about doing great work.

What you'll do

• Contribute to every stage of development - design, build, test, deploy, and improve.
• Own and deliver end-to-end features - from pixels on screen to database depth.
• Define, document, and uphold modern engineering best practices.
• Build state-of-the-art AI systems using LLMs, agents, and adaptive learning models.
• Write clean, maintainable, and testable code that others can build upon.
• Review code thoughtfully and help raise the team’s technical bar.

What we’re looking for

• Natural builder: 2+ years as a full-stack or backend engineer, designing and scaling robust web / mobile applications.
• Architect-level thinker: Deep understanding of system design, clean architecture, OOP principles, and modern engineering best practices - from scalability and performance to maintainability and clarity.
• Hands-on experience with our core stack: Typescript, Node.js, React, Next.js, MongoDB, Redis, Nest.js - big plus.
• Ability to work with AI-powered interactions: integrating LLMs and simple agent flows to enhance user experience - a plus.
• Understanding of core AI engineering fundamentals: including prompt design, context handling, and efficient use of model inputs - nice to have.

If it feels like the right match on both sides, we move fast.

If this sounds like you, we’d love to hear from you.