About SiliconPrimeSiliconPrime develops AI-powered products and enterprise software for global clients. We are looking for Mobile Developers who not only build high-quality applications but also leverage AI to improve engineering productivity and deliver better products faster.
Responsibilities
Develop, maintain and enhance native mobile applications for iOS (Swift) and/or Android (Kotlin).
Collaborate closely with
Product Owner,
Business Analyst, UI/UX Designers, Backend Engineers and
AI Engineers throughout the product lifecycle.
Design clean, scalable and maintainable mobile architecture.
Integrate RESTful APIs, third-party SDKs and cloud services.
Optimize application performance, responsiveness and user experience across different devices.
Participate in technical discussions, architecture design, code reviews and troubleshooting.
Write clean, reusable and well-documented code following engineering best practices.
Continuously improve development efficiency by adopting AI-assisted development workflows.
RequirementsTechnical Skills
3-5 years of experience in native Mobile Development.
Strong proficiency in Swift (iOS) or Kotlin (Android).
Experience building and maintaining production mobile applications.
Good understanding of mobile application architecture such as MVC, MVP, MVVM or Clean Architecture.
Experience integrating RESTful APIs.
Strong knowledge of Git version control.
Experience debugging, profiling and optimizing mobile application performance.
Understanding of mobile security, offline storage and synchronization.
Preferred Qualifications
Experience with SwiftUI and/or Jetpack Compose.
Experience with Firebase services.
Experience implementing Push Notifications.
Experience publishing applications to the App Store or Google Play.
Experience writing Unit Tests or UI Tests.
Familiarity with CI/CD pipelines for mobile applications.
Experience integrating AI-powered APIs or SDKs is a plus.
AI Productivity (Mandatory)At SiliconPrime, AI is an essential part of our software development process.
Candidates are expected to actively use AI tools to improve development speed, code quality and problem-solving capabilities.
Hands-on experience with AI tools such as:
ChatGPT
Claude
GitHub Copilot
Cursor
Windsurf
Gemini
Other AI coding assistants