Android Software Engineer, Artificial Intelligence

This is a fully remote position, open to applicants in California.

📋 Description

• Develop and sustain high-quality Android applications in Kotlin for production use.

• Create and implement adaptable mobile interfaces for insurance, payments, and customer workflows.

• Connect backend APIs for quotation services, policy management, claims, and transactions.

• Participate in the development of mobile features that utilize AI-assisted functionalities, such as chat interactions, recommendations, and automation processes.

• Enhance application performance, responsiveness, battery consumption, and memory efficiency across various devices.

• Establish analytics, crash reporting, and user behavior monitoring.

• Work collaboratively with backend, product, design, and AI/ML teams throughout the entire development process.

• Guarantee stability, scalability, and security of production mobile systems.

• Advance engineering standards, architecture, and mobile best practices.

• Provide stable, high-performance Android experiences that are utilized at scale.

• Minimize crashes and production incidents by refining engineering practices.

• Release mobile features with a strong emphasis on system design and rigorous testing discipline.

• Facilitate AI-assisted product features via mobile integration.

• Contribute to the development of a scalable and maintainable mobile architecture.

⛳️ Requirements

• A minimum of 3 years of experience in Android development using Kotlin.

• Experience in Artificial Intelligence (AI) is essential.

• Strong grasp of Android architecture components and contemporary development methodologies.

• Documented experience in delivering production-level Android applications.

• Solid understanding of Coroutines, Flow, and asynchronous programming techniques.

• Familiarity with integrating RESTful APIs and working within distributed systems.

• Knowledge of mobile performance optimization and debugging in live environments is important.

• Experience with AI-enhanced mobile features is advantageous.

• On-device ML experience or familiarity with frameworks like TensorFlow Lite is a plus.

• Having published applications on the Google Play Store is beneficial.

• Candidates must be willing to complete a 60-minute coding assessment.

• Must reside in the United States and provide proof of US residency.

• Required tech stack includes Kotlin/Java, Android Jetpack, ViewModel, Compose/XML-based UI, Coroutines/Flow, RESTful APIs, SQL/NoSQL databases, and TensorFlow Lite/on-device ML frameworks.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Savings Plan Options

• PTO