About the job
Join Playlab as a Staff Fullstack Engineer
At Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become adept consumers and creators of AI technologies.
Our mission is grounded in a community-driven, open-source philosophy that leverages AI's potential in the educational sector. We provide educators and students with innovative AI tools and comprehensive professional development, enabling them to create customized AI applications tailored to their unique environments. With over 60,000 educators already utilizing our platform to publish applications, our impact is rapidly expanding.
We envision AI as a transformative design material that should be collaboratively shaped to materialize diverse educational ideas. If you are enthusiastic about crafting equitable and imaginative futures for learners and educators alike, we invite you to be a part of our journey.
About the Role
We are seeking a talented Staff Fullstack Engineer to enrich our dynamic Engineering team. In this role, you will explore and redefine AI-native experiences, innovate new interfaces for AI interactions, construct user-friendly tools for educators to create applications without coding, and develop scalable systems for educational institutions.
Key Responsibilities
Develop cutting-edge AI-native interfaces that adapt seamlessly from chat to writing editors to interactive simulations.
Design and implement a core application builder enabling educators to create AI applications through natural language processing.
Facilitate real-time collaboration features allowing multiple educators to co-create applications.
Engineer systems that empower educators to develop sophisticated AI agents for educational objectives.
Implement voice interfaces and mobile-first experiences tailored for diverse connectivity environments, from rural schools to advanced classrooms.
Create platforms for discovering and sharing applications among educators, nurturing a vibrant creator community.
Integrate with existing educational platforms such as Google Workspace and Canvas LMS.
Expectations
Architect and deliver subsystems throughout the full stack, from React/Remix frontend to Node.js backend, integrating with Python AI services.
Adopt an agile approach to rapidly test and implement successful experiments, investing in production when validated.
