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iOS Software Engineer
ICT
Company shared salary
NA
Market rate
S$6,000–S$10,000/mo (S$72,000–S$120,000/yr)
Based on similar roles (title + domain + location).
Responsibilities
- ● There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
- ● Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over 90% reduced time.
- ● As an iOS Software Engineer, you own the iOS client experience, how AI feels, responds, and performs in users' hands. This is not a thin integration role. You will build a production-grade iOS application where AI interactions are central to product experience, and performance, reliability, and user trust are critical.
- ● Build and maintain iOS applications using Swift and SwiftUI.
- ● Integrate AI-powered features through backend APIs.
- ● Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks.
- ● Optimize performance, memory usage, and battery efficiency.
- ● Capture user signals and feedback to support AI evaluation and iteration.
- ● Collaborate closely with backend and ML engineers on API design and system behavior.
- ● Maintain high App Store quality, stability, and production reliability.
- ● IDEAL EXPERIENCES
- ● + years of iOS development experience using Swift.
- ● Hands-on experience integrating AI-powered features into mobile apps.
- ● Strong understanding of async/await, concurrency, and background tasks.
- ● Solid iOS performance and memory optimization skills.
- ● Comfort designing for latency, partial failure, and non-deterministic AI behavior.
- ● Exposure to CoreML or light on-device ML.
- ● Familiarity with feature flags or remote configuration systems.
- ● Strong intuition for AI UX patterns and user trust considerations.
- ● Stable, smooth, and reliable real-world use iOS applications.
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