iOS Software Engineer

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our client's mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.

Their 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.

Overview

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.

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.

Tech Stack

• Swift

• SPM

• SwiftUI

• SQL / noSQL

• TensorFlow Lite (on-device inference)