Job description

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 Software Engineer 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 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 engineering takes shape on our team. AI 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 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 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 — $180,000 USD Age of Learning currently provides: 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, and 16 paid volunteer hours per year 7 paid days for company-wide year end closure (includes 3 observed paid holidays) Security Advisory At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via DocuSign. Any requests for personal information will occur through secure channels only. An Equal Opportunity Employer Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act. Employee/Applicant Privacy Notice We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Requirements

Must-haves

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.
Apply agentic workflows across the SDLC — refactoring, test generation, debugging, documentation, codebase navigation — and help evolve the team’s AI 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
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

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisvelterestjavascripttypescriptagile

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

401(K)