Android Software Engineer, Artificial Intelligence

Parallel Partners

. Build and maintain production-grade Android applications using Kotlin .

Posted 9/22/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $120,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining production-grade Android applications using Kotlin, with a strong focus on integrating AI capabilities and optimizing performance. Proficient in collaborating across teams to deliver high-quality mobile experiences while adhering to best practices in engineering and architecture.

Highest-signal resume keywords

Android Development Using KotlinArtificial Intelligence ExperienceRESTful API IntegrationMobile Performance TuningCoroutines And Flow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Android DevelopmentKotlinCoroutinesFlowRESTful APIsSQL DatabasesNoSQL DatabasesAndroid JetpackTensorFlow LiteAsynchronous Programming

Tools & Technologies

Android JetpackViewModelComposeXML-based UIAnalytics ToolsCrash Reporting Tools

Industry Keywords

Mobile ApplicationsInsurancePaymentsCustomer WorkflowsAI-assisted CapabilitiesMobile ArchitectureUser Behavior Tracking

Tech Stack

Tools & technologies

AndroidDistributed SystemsJavaKotlinNoSQLSQLTensorflow

About the role

Key responsibilities & impact

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 incorporating AI-assisted capabilities, including 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
Collaborate with backend, product, design, and AI/ML teams throughout the development lifecycle
Ensure stability, scalability, and security across production mobile systems
Improve engineering standards, architecture, and mobile best practices
Deliver stable, high-performance Android experiences used at scale
Reduce crashes and production incidents through better engineering practices
Ship mobile features with strong system design and testing discipline
Enable AI-assisted product capabilities through mobile integration
Contribute to scalable and maintainable mobile architecture

Requirements

What you’ll need

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
Published apps on the Google Play Store are an advantage
Tech Stack: Kotlin/Java, Android Jetpack, ViewModel, Compose/XML-based UI, Coroutines/Flow, RESTful APIs, SQL/NoSQL databases, and TensorFlow Lite/on-device ML frameworks

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Savings Plan Options
PTO
Remote work / Work From Home