Software Engineer, AI Native

Age of Learning • Glendale, AZ

1d • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums
• A 401(k) program with employer match
• 15 paid vacation days (increases to 20 days on your 3rd anniversary)
• 12 observed national paid holidays
• 9 sick days
• 16 paid volunteer hours per year
• 7 paid days for company-wide year end closure (includes 3 observed paid holidays)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree