About the job
About the Role:
Join our dynamic Mobile Team at Read AI, where we are on a mission to capture and process high-value audio data for our innovative applications. We are dedicated to delivering intelligent, real-time insights across diverse use cases, and we thrive on creativity, collaboration, and technical excellence. Our mobile applications for iOS and Android empower users to capture audio instantly and receive AI-generated transcripts and summaries in real time, ensuring they remain present and engaged in conversations. As we broaden user interactions with Read AI, we are committed to crafting a seamless cross-device experience, allowing users to record, watch, and access Read AI wherever they are.
We are seeking a Senior Mobile Engineer who will take significant ownership of our mobile applications and help shape the future of Read AI. This role is critical in scaling high-performance, AI-driven experiences to a wider audience. You will collaborate closely with product, design, and machine learning teams to develop new capabilities, while also raising the standard through mentorship, technical leadership, and robust engineering practices.
If you are passionate about creating fast, reliable mobile products and making a real-world impact through AI, we would love to hear from you!
Key Responsibilities:
Lead major feature areas end-to-end on both iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose), from technical design to implementation, testing, rollout, and iteration.
Drive the development of new mobile features and product enhancements, coordinating execution and aligning stakeholders on scope, tradeoffs, and timelines.
Enhance real-time audio capture and processing across platforms, utilizing AVFoundation (iOS) and Android audio frameworks to ensure high-quality recordings and accurate transcriptions.
Optimize app performance, reliability, battery efficiency, and latency to deliver smooth, real-time AI-powered transcription and summarization.
Design and implement AI-driven mobile interactions, including chat-based experiences that enable users to explore, query, and act on meeting reports and insights.
Collaborate closely with product, design, and ML teams to prototype and launch innovative mobile UX patterns for conversational AI, making complex information intuitive, fast, and actionable.
Evolve mobile architecture patterns, ensuring scalability and maintainability.

