Sophinea is an AI, data, and analytics firm in Manassas, Virginia, serving federal and commercial clients since 2018. 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