AI Developer

University of Maine System

16h • $75,000 - $85,000 • Remote

About The Position

The University of Maine System is seeking an AI Developer to join the IT
Enterprise Services team. The AI Developer plays a key role in advancing the
University’s digital modernization and sustainability initiatives. This position
leverages artificial intelligence to optimize software architecture, automate
code modernization, and enhance the performance, security, and maintainability
of enterprise applications. Working across the University’s technology
ecosystem, the AI Developer applies AI tools and techniques to refactor legacy
systems, reduce technical debt, and ensure the long-term reliability of
mission-critical applications that support teaching, research, and public
service.

Requirements

• Software Architecture & Modernization: Expertise in modern software architecture, microservices, design patterns, and advanced refactoring techniques for complex, large-scale, and often poorly documented systems.
• AI Developer Tooling: Deep, demonstrable knowledge with AI-powered developer tools for static/dynamic code analysis, automated transformation, and intelligent testing (e.g., tools similar to CodeScene, SonarQube, Refact ai, Qodo).
• Automated Testing & Verification: Advanced proficiency in building and maintaining comprehensive automated testing suites (unit, integration, end-to-end) and verification frameworks to validate complex system behavior and ensure functional parity post-refactoring.
• Programming Languages & Frameworks: Strong proficiency in at least one modern back-end language (e.g., Java, Node.js, Python) and a corresponding front-end framework (e.g., React, Vue.js), with a solid understanding of web fundamentals (HTML, CSS3).
• Analytical & System Thinking: Exceptional analytical and creative problem-solving skills, with the ability to diagnose deeply embedded architectural problems in opaque legacy codebases and devise innovative, AI-driven solutions.
• Interpersonal & Communication Skills: Excellent verbal and written communication skills, with the ability to articulate highly complex technical concepts, risks, and strategies to diverse technical and non-technical audiences.
• A master’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field. An equivalent combination of relevant professional experience and education will be considered.
• A minimum of five (5) years of professional experience in AI software development, demonstrating progressive responsibility in designing and building complex web applications.
• A minimum of two (2) years of dedicated, hands-on experience applying AI/ML tools and techniques to software development lifecycle challenges, such as automated code analysis, AI-assisted refactoring, or generative testing.
• A portfolio of completed projects or a detailed professional history that clearly demonstrates expertise in analyzing, improving, and modernizing complex legacy systems with practical application of AI technologies.

Nice To Haves

• Professional work experience in a higher education, education technology (EdTech), or research-intensive environment.
• Experience with advanced AI techniques or contributing to open-source AI/ML projects.
• Familiarity with data privacy and governance regulations relevant to the higher education sector, such as the Family Education Rights and Privacy Act (FERPA).

Responsibilities

• AI-Driven Code Modernization: Use AI-powered analysis and automation tools to identify and remediate technical debt across institutional codebases. Design and implement AI-enabled refactoring processes to modernize legacy systems and migrate applications to modern architectures.
• Automated Testing and Quality Assurance: Develop and maintain comprehensive AI-assisted testing and verification frameworks to ensure performance, reliability, and security in modernized systems.
• Application and API Development: Design, develop, and maintain APIs and full-stack applications that support enterprise operations and data integration needs.
• Continuous Improvement and Collaboration: Integrate AI tools into CI/CD pipelines for proactive quality assurance. Collaborate with campus stakeholders to translate institutional needs into technical solutions that enhance efficiency and scalability.

Benefits

• 13 paid holidays plus earned vacation and sick time
• Health, Dental, and Vision insurance
• Short-term disability insurance and employer-paid long-term disability insurance
• Employer-paid basic life insurance and supplemental life insurance
• Tuition waiver program for employees and their dependents (spouse, domestic partner, and dependent children)
• 403(b) retirement plan with 10% employer contribution

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees