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Software Engineer, AI Native

Job in Glendale, Los Angeles County, California, 91222, USA
Listing for: Age of Learning
Full Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 180000 USD Yearly USD 160000.00 180000.00 YEAR
Job Description & How to Apply Below

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

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 Svelte Kit
  • Experience consuming REST and/or gRPC APIs
  • Proficient in JavaScript and Type Script
  • Proficient in Flutter and Dart
  • Experience working in an Agile development
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