AI Product Software Engineer (Laravel / Vue)

Stanbridge University•Irvine, CA

7d•Hybrid

About The Position

The AI Product Software Engineer (Laravel / Vue) is responsible for designing, building, shipping, and continuously improving production software that supports Stanbridge University’s digital ecosystem, including its Learning Management System and related institutional platforms. This is not a traditional web development role. We are seeking an AI-first product engineer who uses modern AI tools as a core part of the software development lifecycle to rapidly design, prototype, generate, validate, refine, and deliver production-ready applications. Working primarily with Laravel (PHP 8.x) and Vue.js (Vue 3), this role transforms business needs and product ideas into intuitive, scalable, secure, and maintainable software. The ideal candidate combines strong software engineering fundamentals with an AI-first development mindset and a keen eye for UX/UI. They understand that exceptional software is not measured only by clean code, but also by usability, thoughtful design, accessibility, operational value, and measurable impact. Success in this role is measured by the quality of the software delivered, the business problems solved, the user experiences created, and the continuous improvement of how software is designed and built.

Requirements

Five or more years of professional experience building and shipping production web applications in a SaaS, enterprise, or similarly complex environment.
Strong hands-on experience developing production applications with Laravel and PHP 8.x.
Strong experience with Vue.js, preferably Vue 3, and modern JavaScript or TypeScript development.
Demonstrated use of AI-assisted development tools as an integral part of the daily software engineering workflow.
Ability to critically review, validate, debug, and improve AI-generated software.
Strong software engineering fundamentals, including application architecture, testing, debugging, data modeling, security, and maintainability.
Experience designing, developing, and integrating RESTful APIs.
Strong understanding of relational databases, including MySQL or MariaDB, schema design, migrations, indexing, and query optimization.
Experience writing automated tests using PHPUnit, Pest, Playwright, Cypress, or equivalent frameworks.
Experience with Git, GitHub workflows, pull requests, and modern CI/CD pipelines.
Ability to work across the full application stack and understand the software produced through AI-assisted development.
Strong product judgment and a demonstrated ability to translate user or business needs into practical software solutions.
Keen eye for UX/UI, usability, accessibility, and visual quality.
Strong debugging, troubleshooting, analytical, and problem-solving skills.
Strong written and verbal communication skills.
Ability to take ownership of work from concept through production.

Nice To Haves

Experience using tools such as Claude Code, Cursor, GitHub Copilot, ChatGPT, OpenAI APIs, or comparable AI development platforms.
Experience building AI-powered features, integrating LLM APIs, or developing agent-based workflows.
Experience developing or supporting Learning Management Systems, Student Information Systems, educational technology platforms, or enterprise applications supporting higher education.
Experience working in education, healthcare, or another regulated environment.
Experience designing internal business applications or workflow-automation platforms.
Experience with product discovery, prototyping, user research, marketing technology, conversion optimization, or digital experience design.
Experience building reusable component libraries, shared services, engineering templates, or internal developer tooling.
Experience with Docker, Redis, AWS, Vite, GitHub Actions, or modern Laravel development tooling.
Familiarity with design systems, responsive design, accessibility standards, and modern UX/UI principles.
Familiarity with OWASP secure coding practices and WCAG 2.2 AA accessibility standards.
Experience improving engineering productivity through automation, reusable patterns, AI agents, or workflow optimization.

Responsibilities

AI Product Engineering: Use AI-assisted development tools, coding agents, and workflow automation as integral components of daily software engineering. Rapidly translate product concepts, operational needs, and user requirements into working prototypes and production-ready applications. Generate, review, validate, and refine AI-assisted code while maintaining responsibility for architecture, security, quality, performance, and maintainability. Use AI throughout implementation, testing, debugging, documentation, refactoring, code review, and technical discovery. Develop reusable AI-assisted workflows, engineering prompts, repository context, templates, and documentation that improve delivery speed and consistency. Evaluate emerging AI development tools and identify practical opportunities to improve engineering productivity and software quality. Maintain strong technical judgment when determining where AI-generated solutions require correction, redesign, or manual intervention.
Product Development & UX/UI: Build software that is intuitive, visually polished, accessible, and aligned with user and institutional needs. Apply strong product judgment and a keen eye for UX/UI when designing workflows, interfaces, components, and interactions. Translate complex processes into simple, clear, and efficient digital experiences. Consider user behavior, accessibility, engagement, conversion, and operational impact when making technical and design decisions. Develop and refine user interfaces using Vue.js and modern front-end development practices. Validate that AI-assisted interfaces meet functional, visual, accessibility, and usability expectations. Improve existing applications through thoughtful product iteration, workflow simplification, and user-centered design.
Software Delivery & Engineering Execution: Build, ship, test, and maintain production web applications using Laravel, PHP 8.x, Vue.js, JavaScript, and TypeScript. Own assigned features and products from technical discovery through implementation, testing, deployment, monitoring, and continuous improvement. Develop reusable Laravel services, REST APIs, Vue components, shared libraries, and internal engineering tools. Deliver software in small, reliable increments with a focus on quality, maintainability, accessibility, performance, and security. Design and integrate internal and third-party systems using REST and JSON APIs with resilient error handling. Improve existing systems through refactoring, performance optimization, modernization, and architectural enhancements. Troubleshoot complex application issues across the full stack. Participate in code reviews that improve readability, consistency, reliability, and engineering quality. Contribute to technical documentation, system design decisions, and engineering standards.
Quality, Reliability & Security: Write clean, maintainable, secure, and production-ready software. Develop automated tests using PHPUnit, Pest, Playwright, Cypress, or equivalent frameworks. Participate in GitHub-based development workflows, pull requests, automated testing, and CI/CD pipelines. Review AI-generated code for security vulnerabilities, architectural inconsistencies, performance issues, and maintainability risks. Apply secure coding practices aligned with OWASP recommendations. Implement appropriate input validation, authorization, authentication, dependency management, and secure handling of sensitive information. Follow university data-handling policies and FERPA requirements when developing software and using AI-assisted engineering tools. Contribute to logging, monitoring, observability, incident response, and preventative reliability improvements. Build responsive and accessible interfaces aligned with WCAG 2.2 AA standards.
Innovation & Continuous Improvement: Identify opportunities to simplify, automate, and improve institutional workflows through software. Improve engineering velocity through reusable code, automation, documentation, AI-assisted workflows, and standardized development practices. Create shared engineering assets that reduce repetitive work and accelerate future development. Contribute ideas that improve developer productivity, product quality, user experience, and operational efficiency. Stay current with emerging AI tools, development practices, software frameworks, and product-engineering methods. Share knowledge through collaboration, documentation, code review, and technical mentoring. Help foster an engineering culture centered on innovation, craftsmanship, accountability, curiosity, and reliable delivery.