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OpenAI

Full-Stack Engineer, ChatGPT Education & Learning

San Francisco (Remote)$185k–$490kfulltimemidAdded today

About this role

Join OpenAI's ChatGPT Learning team as a Full-Stack Engineer to build next-generation learning experiences within ChatGPT. You'll develop end-to-end product features combining AI capabilities with intuitive interfaces, working across frontend and backend systems to serve millions of learners globally.

What you'll do

  • Build end-to-end product experiences and features for learning within ChatGPT
  • Design and implement multimodal capabilities integrating text, images, voice, and interactive interfaces
  • Develop scalable backend services and APIs powering learning features
  • Collaborate with product managers, designers, researchers, and engineers to prototype and ship features
  • Optimize performance, reliability, and usability of learning experiences
  • Iterate on features using experimentation and user feedback

What they're looking for

  • React and TypeScript
  • Backend development (Python, Node.js, or similar)
  • Full-stack web development
  • API design and development
  • AI/LLM-based systems experience
  • Product engineering and UX design sensibilities
  • Scalable backend architecture
  • Educational technology or learning product experience

Benefits

  • Hybrid work model (3 days in office per week)
  • Locations in San Francisco or New York City
  • Relocation assistance for new employees
  • Work on products with global impact at scale
  • Cross-functional collaboration with AI researchers and designers
  • Opportunity to shape education access worldwide
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Walk us through a full-stack feature you built from concept to production—how did you handle ambiguity and make trade-offs?
  • Tell us about your experience building interactive educational tools or learning products. What worked well and what would you do differently?
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