Parallel Partners logo
Parallel Partners
Posted 68 days agoVerified live 10h ago

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

Brief overview

Remote
$120k–$175k/yrStated range
3+ yrsMinimum
KotlinAndroid developmentAndroid architecture componentsCoroutinesFlowAsynchronous programmingRESTful APIsDistributed systemsMobile performance tuningDebuggingTensorFlow LiteOn-device machine learningSQL databasesNoSQL databasesAndroid JetpackViewModelCompose UI

About the company

Parallel Partners logo
Parallel Partnersparallelpartners.com

Parallel Partners specializes in IT staffing, recruiting, and executive search services.

Job description

Summary

Parallel Partners is seeking a talented Android Software Engineer to build and evolve mobile applications that power insurance and financial products. The role involves contributing to features that leverage automation and AI-assisted capabilities to enhance user experience and operational efficiency.

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 (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

Skills

  • 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
  • Strong ownership mindset with attention to detail and product quality
  • 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
  • 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
  • Published apps on the Google Play Store are an advantage

Qualifications

Must Haves

  • 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
  • Strong ownership mindset with attention to detail and product quality
  • 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

Nice to Haves

  • 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
  • Published apps on the Google Play Store are an advantage

Benefits

  • Medical insurance
  • Dental
  • Vision
  • Savings Plan Options
  • PTO

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