Android Engineer (Kotlin and Java)

Key Responsibilities

• Create detailed prompts across Android topics and write high-quality reference answers to guide AI learning.
• Evaluate and rank AI responses to enhance correctness, security, performance, and maintainability.
• Test AI outputs for inaccuracies or unsafe recommendations, validating reliability across real-world Android use cases.

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, or a closely related technical field (or equivalent practical experience).
• 4+ years of professional experience building production Android apps, including work in Kotlin and (ideally) Java codebases.
• Expert-level proficiency in Kotlin (Kotlin 1.6+): null-safety, coroutines/flows, sealed types, generics, and idiomatic patterns.
• Strong Android fundamentals: app lifecycle, Activities/Fragments, state restoration, background execution limits, and permissions.
• Modern UI experience with Jetpack Compose and/or Views; ability to reason about recomposition, state hoisting, and UI performance.
• Concurrency expertise: coroutines, Flow, threading best practices, cancellation, and avoiding race conditions/ANRs.
• Strong knowledge of architecture patterns: MVVM, Clean Architecture concepts, dependency injection (Hilt/Dagger/Koin), and modularization.
• Experience with networking and data: Retrofit/OkHttp, serialization, caching, offline strategies, and persistence (Room/SQLite/DataStore).
• Experience with testing and quality: JUnit, instrumentation tests, Compose UI tests/Espresso, mocking strategies, CI/CD (Gradle, Play Console workflow).
• Security awareness: secure storage (Keystore/EncryptedSharedPreferences), auth flows, certificate pinning awareness, privacy permissions, and sensitive data handling.

Qualifications

• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex Android code.