Senior AI Applied Software Engineer
<p><strong>The job in short</strong></p>
<div class="custom-field-control editable-field-control" data-type="long_text">
<div class="collapsed-field">
<p>As a Senior Applied AI Software Engineer (Android), you will serve as a technical anchor for our mobile identity and banking suites—shaping SDK architectures that impact over 100 million users worldwide. You will lead the shift toward AI-native mobile development, combining deep Android architecture expertise with agentic AI tooling to set new productivity and quality benchmarks.</p>
<p><strong>Meet the job</strong></p>
<div class="custom-field-control editable-field-control" data-type="long_text">
<div class="collapsed-field">
<ul>
<li><strong>AI-Native Mobile Leadership:</strong> Champion the integration of LLM workflows, prompt engineering, and agentic AI tooling into the mobile engineering life cycle.</li>
<li><strong>Core Mobile & SDK Architecture:</strong> Architect scalable, secure Android SDKs, libraries, and modular mobile components using Kotlin, Jetpack Compose, and Coroutines.</li>
<li><strong>Full-Lifecycle Ownership:</strong> Own end-to-end mobile capabilities—from local data persistence and security layers to backend API integrations and CI/CD pipelines.</li>
<li><strong>Quality & Testing Champion:</strong> Maintain an uncompromising focus on quality, enforcing automated test coverage targets (80%+ unit testing) and performance profiling.</li>
<li><strong>Mentorship & Standard Setting:</strong> Mentor mobile developers, advocate best practices in mobile architecture, and establish shared engineering standards across the team.</li>
</ul>
<p><strong>How about you </strong></p>
<div class="custom-field-control editable-field-control" data-type="long_text">
<div class="collapsed-field">
<ul>
<li><strong>Experience:</strong> 5 to 7+ years of professional software engineering experience with a heavy focus on native Android development.</li>
<li><strong>Tech Mastery:</strong> Advanced mastery of Kotlin, Jetpack Compose, Coroutines, Clean Architecture/MVVM, and building modular mobile SDKs used by external teams.</li>
<li><strong>Proven AI Production Experience:</strong> Active, hands-on production use of AI-driven developer tooling, agentic workflows, or mobile build automation.</li>
<li><strong>DevOps & Tooling:</strong> Deep understanding of mobile CI/CD automation tools (Bitrise, Jenkins, Gradle scripting) and non-functional requirements (mobile security, performance).</li>
<li><strong>Leadership Skills:</strong> Proven capacity to mentor peers, evaluate complex trade-offs, and guide autonomous squads toward clear technical goals.</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
Este anuncio proviene de Greenhouse. Ver anuncio original ↗