iOS Software Engineer

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

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 product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.

Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things.

Role

As an iOS Software Engineer, you own the iOS client experience, how AI feels, responses, 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.

Focus

• 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

• 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.
• 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.

Outcomes

• Stable, smooth, and reliable real-world use iOS applications.
• Performance is optimized: responsive, low-latency, and efficient on memory and CPU.
• Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.
• Swift
• SPM
• SwiftUI
• SQL / noSQL
• TensorFlow Lite (on-device inference)

How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product