Senior Software Engineer II, AI-Native - Location Platform
Hybrid · São Paulo, São Paulo, Brazil
Job Summary
Design and build the mobile location infrastructure that runs on tens of millions of devices worldwide, including on-device collection, filtering, and transmission systems, while optimizing battery life and OS constraints. Join an AI-Native engineering team to evolve workflows, write code, run tests, and review results with AI-powered collaboration (Claude Code) as a first-class partner. Contribute to architectural decisions, build across the full stack (iOS/Android/Cloud), collaborate with product and design, participate in on-call incident response, and mentor teammates to advance AI-native practices. Requires strong mobile development background (iOS/Android), experience with high-throughput backends (Java/Kubernetes/AWS), and a Bachelor’s degree or equivalent; 5+ years of experience and 1+ year with LLMs are expected. This is a full-time Brazil-based role (CLT via EOR) with hybrid in São Paulo, Brazil, and remote-friendly expectations. It emphasizes AI tooling, agentic workflows, and a culture of craft, speed, and reliability across a large-scale mobile location platform.
Required Qualifications
- 5+ years of experience building high-quality, consumer-scale mobile applications
- At least 1 year of hands-on experience prompting, evaluating, and building with LLMs
- Strong proficiency in mobile development (iOS and/or Android)
- Web and high-throughput/low latency backend experience (Java, Kubernetes, AWS) are valued alternatives
- Ability to reason about on-device decisions affecting backend systems at scale
- Deep understanding of mobile platform constraints (background execution, battery management, location APIs, OS lifecycle)
- Bachelor’s degree or equivalent
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