iOS Software Engineer

About ActAI

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

• Build and maintain production iOS applications using Swift and SwiftUI
• Develop interfaces for messaging, real-time communication and AI-powered features
• Integrate backend APIs, including streaming responses, asynchronous operations and error handling
• Implement local storage, push notifications, background tasks and data synchronisation
• Optimise application performance, startup time, memory usage and battery consumption
• Implement analytics, crash reporting and monitoring to identify and resolve production issues
• Work with backend, ML and design teams to develop, test and release new features

• 3+ years of iOS development experience using Swift, with applications shipped to the App Store
• Strong understanding of SwiftUI, UIKit, iOS SDK and application lifecycle
• Experience with Swift concurrency, async/await, background processing and asynchronous data handling
• Experience integrating REST APIs, managing local data and handling network failures
• Understanding of iOS architecture patterns, state management and memory management
• Experience profiling and optimising application performance using Xcode Instruments
• Strong debugging skills and experience maintaining production iOS applications

• Experience building messaging, chat or real-time communication applications
• Experience integrating LLM, speech, vision or other AI-powered APIs
• Experience with Core ML or on-device machine learning
• Experience with feature flags, remote configuration or automated iOS release pipelines