Software Engineer, Teacher

Software Engineer, Teacher Experience

Remote or Seattle, WA

CodeAI is an education innovation nonprofit dedicated to the vision that every student in every school has the opportunity to learn about artificial intelligence (AI) and computer science (CS) as part of their core K-12 education. We increase participation in AI+CS education by reaching students of all backgrounds where they are — at their skill level, in their schools, and in ways that inspire them to keep learning, with a focus on increasing participation by young women and students from other underrepresented groups.

The leading provider of K-12 AI+CS education curriculum across the globe, CodeAI also organizes the annual Hour of AI campaign, building on the legacy of the Hour of Code, which has engaged more than 15% of all students in the world!

Are you passionate about computer science, education, and AI? Do you want to help teachers in the U.S. and around the world learn with and about AI? Every day, teachers use CodeAI to introduce students to computer science and AI. As a Software Engineer on our Teacher Experience team, you'll make that experience faster, clearer, and more reliable for the educators who rely on it.

You'll work alongside product managers, designers, and curriculum writers to take features from ambiguous classroom needs to production, using agentic AI tools to accelerate the work without sacrificing maintainability. Want to learn more about our engineering organization as a whole? We're fully open source, and our products are free to use, so in addition to checking out our company and engineering team pages, you can check out our Git Hub, review our architectural tenets, and check out our course catalog.

In this role you will:

• Partner with product managers, designers, and curriculum writers to develop end-to-end features that are accessible, usable, and engaging in real classrooms.
• Write and maintain production-ready code in JavaScript/Type Script, React, Ruby on Rails, and SQL, working with AWS services like S3 and Cloud Watch for asset storage, logging, and infrastructure.
• Rapidly prototype and iterate on AI-focused products for students, including evaluating, selecting, and incorporating generative AI models with an eye toward safety, bias mitigation, and effectiveness.
• Take ownership of complex projects, driving technical decisions and collaborating across teams to deliver scalable, maintainable solutions.
• Support site and user needs, including monitoring production issues, deploying updates, triaging user-submitted issues, and responding to teacher and student inquiries.
• Help foster a collaborative, encouraging team culture through knowledge shares, code reviews, and helping teammates succeed.

We seek candidates who have:

• A passion for expanding access to computer science and AI education and building tools that help students and teachers succeed.
• 8+ years developing and maintaining consumer-grade full-stack web applications, preferably using JavaScript/Type Script, React, Ruby on Rails, and SQL.
• Hands-on experience using agentic AI tools to build software, with a track record of continuously learning new tools and workflows as the space evolves.
• Familiarity with cloud infrastructure and supporting high-scale, production applications.
• Technical leadership experience, whether through leading architectural changes, setting technical direction, or mentoring teammates.
• The ability to drive projects independently, including breaking down work into smaller features, making informed tradeoffs, and communicating progress effectively.
• A collaborative mindset, with a strong belief in supporting teammates, sharing knowledge, and contributing to an inclusive engineering culture.

We prefer candidates who also have:

• Experience working on AI-powered products or educational technology, particularly in building tools that help students learn to use and learn with LLMs.

In addition, candidates must:

• Be a U.S. Citizen or Permanent Resident
• Work within the continental United States
• Pass a pre-employment background check
• Be willing to travel a minimum of two times per…