Opportunities · Part-time opportunity
Mobile App Developer Intern
Sophinea
Manassas, VA · Hybrid
Sign in to see the full posting and apply
We build AI products including Halo, our secure AI and analytics platform. As a Mobile App Developer Intern, you'll help build mobile apps that bring AI and data capabilities to users on the go. You'll write production code, ship features, and learn how a professional software team plans, reviews, and releases work. What you'll do: • Build and test features for iOS and Android apps using [React Native / Flutter / Swift and Kotlin] • Turn UI/UX designs into responsive, accessible screens • Connect apps to backend services and APIs, including AI and analytics services • Write unit and integration tests, and help fix bugs • Take part in code reviews, standups, and sprint planning using GitHub and Linear • Help prepare builds for testing and app store release A typical day might include a team standup, building a feature from a ticket, opening a pull request for review, and pairing with a senior engineer on a tricky bug. This is a paid, part-time, semester-long internship (about 10-15 hours per week), hybrid in Manassas, VA.
Requirements • Currently enrolled in a bachelor's or master's program in computer science, software engineering, or a related field • Coursework or project experience building at least one mobile or web app • Programming experience in JavaScript/TypeScript, Dart, Swift, or Kotlin • Familiarity with Git and working in a shared codebase • Understanding of REST APIs and how apps fetch and display data • Able to work on-site in Manassas on hybrid days Nice to have: • An app published to the App Store or Google Play, or a public GitHub portfolio • Experience with backend services such as Supabase or Firebase • Experience calling LLM APIs (Claude, OpenAI) from an app • Interest in mobile security and privacy practices
Benefits • Paid internship • Flexible part-time schedule built around your class load • Hybrid work: on-site collaboration in Manassas plus remote days • Shipped code in real products, with mentorship from senior engineers • Hands-on experience with modern mobile, cloud, and AI tooling • Exposure to how AI products are built for federal and commercial clients