Android Engineer

Want to engineer production-grade Android applications where real-time, interactive AI drives the core user experience?

Are you looking for a role where you can bridge modern Kotlin craft with cutting-edge on-device inference and intelligent backend services?

Great, then please read on as we have a role for you.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

As an Android Software Engineer, you will own the native client experience, shaping how intelligent, data-driven features feel, behave, and perform on mobile devices. This is a core engineering role where interactive AI capabilities are central to the product ecosystem, demanding exceptional mobile performance, rock-solid reliability, and intuitive design., * Build and maintain high-performance native Android applications using Kotlin.

• Integrate intelligent product features (chat, vision, voice, recommendations) seamlessly via backend APIs.
• Architect user experience patterns designed for real-time interactions, including streaming responses, progress indicators, retries, and partial failure states.
• Profile and optimize app performance, memory consumption, and battery efficiency for resource-intensive features.
• Implement telemetry, logging, and feedback loops to support continuous model evaluation and product iteration.
• Partner with ML and backend engineering teams to define API contracts, protocols, and system behaviors.
• Uphold production quality, app security, and Play Store release standards.

• 3+ years of professional Android development experience using Kotlin.
• Practical experience integrating AI-driven capabilities (such as LLMs, vision, or speech APIs) into production apps.
• Strong mastery of asynchronous programming using Kotlin Coroutines and Flow.
• Solid experience working with REST or gRPC APIs and structured data formats.
• Demonstrated capability to build resilient mobile interfaces around latency, network instability, and dynamic model responses.
• Strong debugging, memory management, and performance profiling skills.
• Exposure to on-device ML frameworks (e.g., MLKit, TensorFlow Lite).
• Track record of publishing and supporting production applications on the Google Play Store.

• Small founding team, building a greenfield AI email product from scratch.
• High-caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility