12 months ago
Remote, United StatesStaff+
Base Salary
$170k - $210k/yr
Responsibilities
- Architect and ship full-stack subsystems spanning React/Remix frontends, Node.js backends, and Python AI services.
- Build AI-native interfaces, educator application-building tools, autonomous AI-agent systems, and real-time collaboration features.
- Implement voice, mobile-first, discovery, sharing, and educational-platform integration experiences.
- Develop integrations with Google Workspace, Canvas LMS, and other external educational services.
- Run rapid product experiments and productionize successful solutions.
- Write tests and documentation, improve team processes, and help drive strategic technical decisions.
- Mentor engineers through pairing and code and architecture reviews.
- Collaborate with designers, ML engineers, product teams, and customers.
Requirements
- 7+ years of experience building production web applications across frontend and backend.
- Strong experience with modern React frameworks, including Remix, and TypeScript.
- Strong experience building backend services with Node and TypeScript.
- Strong experience with databases, APIs, and external-service integrations.
- Ability to translate designs into working features and collaborate effectively with designers.
- Comfort working cross-functionally and directly with customers.
- Strong communication and effectiveness in a high-agency, highly collaborative remote-first culture.
- Preferred experience includes AI-powered interfaces, real-time collaboration with WebSockets or CRDTs, educational technology, Remix or similar React frameworks, accessibility, internationalization, and LMS or educational-system integrations.
Benefits
- Remote-first work environment.
- Opportunity to build open-source, AI-powered tools for educators and students at a tech non-profit.
Tech Stack
Categories
About Playlab
Playlab is a nonprofit that enables educators and impact organizations to build AI powered tools and experiences. Our public infrastructure enables researchers to study the impact of AI on education. And our open data advances responsible, open source AI. We aim to make building with AI as fun and accessible as creating is with Scratch. And as robust as Huggingface.