Software Engineer (Mid to Senior Level)

Age of Learning; Los Angeles (CA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Health benefits premiums

401(k) with employer match

Paid vacation and holidays

Hybrid or remote-friendly

Volunteer time off

Job summary

Age of Learning is seeking a Senior Software Engineer, AI Native to join the ABCmouse product team. You will design workflows around AI, build high-performance web and mobile apps for millions of learners.

You will own features end-to-end, mentor teammates, and set AI-Native engineering standards while partnering with Product, Design, and stakeholders.

Qualifications

• 5+ years of professional software engineering experience on consumer-facing web or mobile apps.
• 2+ years prompting, evaluating, and building with LLMs and AI coding assistants.
• Deep experience with agentic workflows, prompt engineering, and context window management.
• Proven ability to own features end-to-end through production with post-release monitoring.
• Shipped cross‑platform mobile apps to iOS and Google Play.
• Familiar with software design patterns and full SDLC.
• Experience with performance tuning for frontend and backend.

Responsibilities

• Apply agentic workflows across the SDLC to evolve AI-Native practices.
• Own features end-to-end through production and use data to validate assumptions.
• Drive architectural direction for your area and set team standards.
• Refactor codebase as part of shipping, keeping it clean.
• Collaborate with Product, Design, and stakeholders on scope and timelines.
• Develop features for web, iOS, and Android deployments.

Skills

AI-Native engineering

LLM prompting

Production ownership

Team leadership

Data-driven decisions

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

JavaScript

TypeScript

Flutter

Dart

Svelte

SvelteKit

REST

gRPC

MCP

Function calling

Agent tooling

Job description

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

Salary

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 USD - $180,000 USD

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, and 16 paid volunteer hours per year
• 7 paid days for company‑wide year end closure (includes 3 observed paid holidays)
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

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.