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Android Software Engineer - Artificial Intelligence, AI

Mobile EngineeringPosted on Nov 11
Full-timeRemote in USA$120k - $175k /yr

About the Job

Requirements

  • At least 3 years of Android development experience using Kotlin.
  • Artificial Intelligence experience is 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.

Responsibilities

  • 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, such as chat experiences, recommendations, and 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 with backend, product, design, and AI/ML teams throughout the development lifecycle.
  • Ensure stability, scalability, and security across production mobile systems.
  • Continuously improve 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.

Desired Qualifications

  • Exposure to AI-enabled mobile features, such as chat interfaces, recommendation systems, and automation workflows.
  • Experience with on-device machine learning or frameworks such as TensorFlow Lite.
  • Published apps on the Google Play Store.

About the Company

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