Software Engineer, AI Native

About this role

Company Overview:

Age of Learning® is the leading developer of engaging and effective Pre-K through 2nd grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse®, Adventure Academy®, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español®. Having served over 55 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit AgeofLearning.com.

Summary:

AI-Native engineering is the new baseline at Age of Learning — engineers who do not just use AI tools occasionally, but design their workflows around them, orchestrate agents to plan and execute work, and treat AI coding agents as a first-class collaborator. We are seeking a Senior Software Engineer, AI Native to join the ABCmouse product team within Digital Consumer Products. You will help us build high-performance web and mobile applications that reach millions of learners, while helping us craft how AI-Native engineering takes shape on our team.

AI Native Expectations:

• Daily use: You use AI coding agents (for real, substantive tasks — analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.

• Velocity: We expect engineers who use AI well to operate with meaningful leverage — doing more at the same time and improving productivity for themselves and their team.

• Team leadership: As an AI champion, you share what works, whether that be skills, plugins or MCP’s, providing guidance and setting standards on usage for your team and the company as a whole.

• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.

Responsibilities:

• Apply agentic workflows across the SDLC — refactoring, test generation, debugging, documentation, codebase navigation — and help evolve the team’s AI-Native engineering practices in the process

• Own features end-to-end through production — monitor what you ship and use data to validate your assumptions

• Drive technical decisions and architectural direction for your area of ownership; the code you ship sets the standard for the team

• Leave the codebase cleaner than you found it — refactoring is not a separate backlog item, it is part of how you ship

• Partner with Product, Design, and stakeholders to align on scope, priorities, technical tradeoffs, and delivery timelines

• Identify, design, and develop features and functionality within applications for deployment to web, iOS, and Android

Minimum Qualifications:

• 5+ years of professional software engineering experience, ideally consumer-facing and content-driven web or mobile applications

• 2+ years of hands-on experience prompting, evaluating, and building with LLMs and AI coding assistants

• Deep experience with agentic workflows, prompt engineering, and context window management

• Track record of using AI tooling to multiply your own output — not just as autocomplete, but as a genuine development partner

• Demonstrated ability to own features end-to-end through production, including post-release monitoring and learning from data

• Shipped production cross-platform mobile applications to both the iOS App Store and Google Play

• Familiar with software design paradigms and design patterns

• Solid understanding of the full software development life cycle

• Experienced with performance tuning and optimization techniques for both front-end and backend systems.

• Strong communication and collaboration skills

• Genuine excitement for helping define what AI-Native engineering means at Age of Learning

Preferred Qualifications:

• Bachelor of Science in Computer Science degree or related subject

• Experience with MCP, function calling, or tool-using agents

• Experience with Svelte or SvelteKit

• Experience consuming REST and/or gRPC APIs

• Proficient in JavaScript and TypeScript

• Proficient in Flutter and Dart

• Experience working in an Agile development framework

• Educational and/or game development experience

The estimated salary range for a new hire in this position is below. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.

Total Compensation:
$160,000