Android Software Engineer, Artificial Intelligence (AI) Required, Work From Home

Android Software Engineer, Artificial Intelligence (AI) Required, Work From Home

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Android Software EngineerResponsibilities:

• Build and maintain production-grade Android applications using Kotlin.
• Design and implement intuitive, responsive mobile interfaces for insurance, payments, and customer workflows.
• Integrate backend APIs for quotations, policy management, claims, and transactional services.
• Contribute to mobile features that incorporate AI-assisted capabilities (e.g., chat experiences, recommendations, automation flows).
• Optimize application performance, responsiveness, battery usage, and memory efficiency across devices.
• Implement analytics, crash reporting, and user behavior tracking to improve product quality.
• Collaborate closely with backend, product, design, and AI/ML teams throughout the development lifecycle.
• Ensure stability, scalability, and security across production mobile systems.
• Continuously improving engineering standards, architecture, and mobile best practices.
• Deliver stable, high-performance Android experiences used at scale.
• Improve app reliability, responsiveness, and efficiency across devices.
• Reduce crashes and production incidents through better engineering practices.
• Ship mobile features confidently with strong system design and testing discipline.
• Enable AI-assisted product capabilities through mobile integration where applicable.
• Contribute to a scalable and maintainable mobile architecture.

Android Software EngineerQualifications:

• 3+ years of Android development experience using Kotlin.
• Artificial Intelligence (AI) experience required.
• Strong understanding of Android architecture components and modern development practices.
• Proven experience shipping production Android applications.
• Strong knowledge of Coroutines, Flow, and asynchronous programming.
• Experience integrating RESTful APIs and working with distributed systems.
• Familiarity with mobile performance tuning and debugging in production environments.
• Exposure to AI-enabled mobile features (e.g., chat interfaces, recommendation systems, automation workflows) is a plus.
• Experience with on-device ML or frameworks such as TensorFlow Lite is a bonus.
• Strong ownership mindset with attention to detail and product quality.
• Published apps on the Google Play Store are an advantage.
• Tech Stack: Kotlin/Java, Android Jetpack (ViewModel, Compose/XML-based UI where applicable), Coroutines/Flow, RESTful APIs, SQL/NoSQL databases, and TensorFlow Lite/on-device ML frameworks.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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