iOS Software Engineer — AI-Driven, High-Performance Apps

ActAI; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

ActAI is seeking an experienced iOS Software Engineer to own the iOS client experience, delivering a production-grade app where AI interactions are central to the product. You will ensure performance, reliability, and user trust in a fast-moving environment.

Join a team shipping AI-powered features, collaborating with backend and ML engineers to design robust APIs and resilient user experiences across devices.

Qualifications

• 3+ 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.
• Experience shipping and maintaining production iOS apps.
• Exposure to on-device ML (CoreML or similar).

Responsibilities

• 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 and streaming responses.
• Optimize performance, memory usage, and battery efficiency.
• Capture user signals and feedback to support AI evaluation and iteration.
• Collaborate with backend/ML engineers on API design and system behavior.
• Maintain high App Store quality, stability, and production reliability.

Skills

Swift

SwiftUI

Async/await

Concurrency

Performance optimization

AI integration

Memory optimization

App stability

UX for AI interactions

Education

Bachelor degree in CS/SE or equivalent

Tools

CoreML

TensorFlow Lite

Xcode/Swift toolchain

Job description

ActAI is seeking an experienced iOS Software Engineer to own the iOS client experience, delivering a production-grade app where AI interactions are central to the product. You will ensure performance, reliability, and user trust in a fast-moving environment.

Join a team shipping AI-powered features, collaborating with backend and ML engineers to design robust APIs and resilient user experiences across devices.