Mobile Software Engineer

About the position

To spearhead the development and implementation of a pioneering mobile application that combines AI-driven mental health support with passive behavioral sensing for Dartmouth College students. This innovative platform will use smartphone and wearable sensors to collect real-time behavioral data while providing students with personalized mental health and wellness resources through an AI chatbot interface. The role involves creating an engaging, user-friendly mobile application integrating behavioral data collection (sleep patterns, physical activity, stress levels) with personalized AI-driven interventions and evidence-based wellness resources. This position plays a critical role in developing technology that will serve as a model for how universities can leverage AI and mobile technology to support student well-being.

Responsibilities

• Design and implement an intuitive mobile interface using modern mobile development frameworks and best practices that effectively integrates AI chatbot capabilities with behavioral insights and wellness resources.
• Create responsive and engaging user interfaces that effectively display real-time behavioral data and AI-generated insights.
• Implement secure local storage solutions for sensitive user data and ensure efficient data synchronization with backend services.
• Develop and maintain features for displaying personalized wellness resources, behavioral insights, and intervention tools.
• Optimize application performance and responsiveness to ensure an excellent user experience.
• Implement robust background processes for continuous collection of behavioral data from smartphone sensors (sleep patterns, physical activity, location, etc.).
• Optimize battery usage while maintaining reliable data collection.
• Develop fail-safe mechanisms to handle potential sensor data collection interruptions.
• Create efficient data preprocessing and local storage solutions for sensor data.
• Collaborate with backend developers to ensure proper API integration and data flow.
• Work with LLM developers to integrate AI-driven features into the mobile interface.
• Implement secure data transmission protocols for sensitive user information.
• Participate in code reviews and maintain high coding standards.
• Contribute to technical documentation and development processes.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 6+ years of experience in mobile application development.
• Strong expertise in either native iOS (Swift) or Android (Kotlin) development, with cross-platform development experience.
• Proven experience with implementing background services and sensor data collection on mobile devices.
• Demonstrated ability to optimize mobile applications for performance and battery efficiency.
• Experience with secure data storage and transmission protocols.
• Strong understanding of mobile UI/UX principles.
• Experience with RESTful APIs and backend integration.
• Excellent problem-solving and debugging skills.

Nice-to-haves

• Experience with both iOS and Android development.
• Experience developing health or wellness applications.
• Knowledge of HIPAA compliance requirements for mobile applications.
• Experience with real-time data visualization in mobile applications.
• Familiarity with AI/ML model integration in mobile applications.
• Experience with passive sensing implementations on mobile devices.
• Background in developing applications for academic or research environments.
• Experience with Azure, Google Cloud Platform, or AWS services.