About the Role
The ideal candidate will combine mobile development expertise with a strong understanding of AI integration to deliver responsive, user-friendly applications that leverage machine learning models for real-time decision-making and personalization.
Responsibilities
- Design and implement mobile applications using AI-driven features
- Integrate machine learning models into iOS and Android platforms
- Optimize app performance for speed and responsiveness
- Collaborate with data scientists to refine AI algorithms
- Develop clean, maintainable code following best practices
- Troubleshoot and debug mobile applications
- Ensure compatibility across multiple devices and OS versions
- Implement secure data handling and encryption methods
- Work with UI/UX designers to translate mockups into functional interfaces
- Maintain documentation for development processes and system architecture
- Conduct code reviews and support peer developers
- Monitor app performance post-deployment
- Respond to user feedback and implement improvements
- Stay current with mobile development trends and AI advancements
- Support deployment and app store submission processes
Nice to Have
- Master’s degree in Computer Science or AI-related field
- Published mobile applications in app stores
- Experience with Flutter or React Native
- Background in natural language processing
- Knowledge of edge computing on mobile devices
- Familiarity with Firebase ML Kit
- Experience in agile or scrum environments
Benefits
- Health, dental, and vision insurance
- Retirement savings plan with company match
- Unlimited paid time off
- Annual professional development stipend
- Home office setup allowance
- Flexible parental leave policy
- Mental health and wellness support
- Stock options for eligible employees
Compensation
Competitive salary with performance-based bonuses
Work Arrangement
Remote with flexible hours
Team
Small, agile team focused on rapid innovation
Technology Stack
- Primary languages: Swift, Kotlin
- AI frameworks: TensorFlow Lite, Core ML
- Backend: Firebase, AWS Lambda
- CI/CD: GitHub Actions, Bitrise
Application Process
- Submit resume and portfolio
- Complete a technical screening
- Participate in a live coding session
- Final interview with team leads
Available for qualified candidates
