iOS Engineer

Want to build production-grade iOS applications where interactive AI isn’t just an afterthought, but the core product experience?

Are you looking for a role where you can bridge native iOS craft with cutting-edge on-device and cloud-based machine learning?

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 iOS Software Engineer, you will own the native client experience, shaping how intelligent, data-driven features feel, respond, and perform in users’ hands. This is a core engineering role where interactive AI capabilities are central to the product ecosystem, demanding exceptional mobile performance, rock-solid reliability, and high user trust., * Build and maintain high-performance native iOS applications using Swift and SwiftUI.

• Integrate intelligent product features seamlessly through backend APIs.
• Architect user experience patterns designed for real-time interactions, including streaming states, progress indicators, retries, and failure recovery.
• Profile and optimize app performance, battery consumption, and memory management.
• Collect user signals and telemetry to support continuous model evaluation and product iteration.
• Partner with ML and backend engineering teams to define API contracts and system architectures.
• Uphold rigorous production quality, release standards, and App Store stability.

• 3+ years of professional iOS development experience using Swift.
• Practical experience implementing AI-driven or machine learning features within mobile applications.
• Advanced knowledge of Swift concurrency (async/await), memory management, and background processing.
• Demonstrated ability to design robust client experiences around network latency, graceful degradation, and dynamic model responses.
• Track record of shipping and supporting consumer-facing production apps in the App Store.
• Familiarity with on-device ML frameworks (e.g., CoreML) and feature flagging setups.
• Strong product intuition focused on mobile UX and client-side reliability.

• 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