AI-Native Product Engineer (Trainee)

About Us

We're building the future of writing development. We believe that writing is thinking, and thinking changes life outcomes. Our mission is simple: help more students learn how to express ideas clearly, confidently, and independently.

We believe AI should support learning, not shortcut it. That belief shapes everything we build: tools that strengthen skills, respect the role of educators, and keep students doing the hard (and important) work of thinking for themselves.

We're a fast-moving team working at the intersection of education, design, and AI — building things that are used in real classrooms, by real teachers, with real impact. If you care about craft, learning, and building technology that actually matters, you'll feel at home here.

About the Role

We're hiring an AI-Native Product Engineer to build and ship high-quality frontend products powered by modern AI workflows.

This is not a traditional frontend role — you'll use agentic AI systems (multi-step agents, tools, evals) to accelerate development, while still owning clean, production-ready code when it matters.

Ideal for engineers who enjoy building fast, thinking independently, and working at the intersection of product, AI, and user experience.

What You'll Be Doing

• Build and ship frontend features using React
• Use AI workflows (agents, tools, evals) to accelerate product development
• Design structured AI systems — not just prompt in chat
• Step in to debug, refine, and own code when AI falls short
• Integrate APIs (including LLM services) and collaborate with backend teams
• Improve UX, especially around interactive and content-heavy workflows
• Ship clean, maintainable, production-ready code

What We're Looking For

Core Requirements

• Strong React + JavaScript/TypeScript fundamentals
• Able to build and ship features independently
• Comfortable working with APIs and backend integration
• Good product sense + UI/UX awareness
• Clear communicator, able to work in a remote setup

AI-Native Mindset

• Experience using AI beyond basic prompting (agents, workflows, tools)
• Understands how to make AI outputs structured, testable, and reliable
• Knows when to rely on AI — and when to take over manually

Bonus

• Angular exposure (for existing systems)
• Experience with rich-text editors (e.g. Lexical)
• Interest in EdTech / learning products

Candidates should be able to show:

• GitHub / live projects / portfolio
• AI workflows or systems they've built
• Real examples of shipped work