iOS Software Engineer

🗓️ Posted 2026-08-04 Singapore Fulltime Hybrid 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.