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About the Role
As an iOS Software Engineer, you will own the iOS client experience, focusing on how AI feels, responds, and performs. This role involves building a production-grade iOS application where AI interactions are central, and performance, reliability, and user trust are critical.
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, 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.
Requirements
- 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.
Skills
- Swift
- SPM
- SwiftUI
- SQL
- noSQL
- TensorFlow Lite
Experience Level
- 3+ years of iOS development experience
About the Company
- ActAI is building proactive, AI-native applications for everyday users, focusing on conversations, errands, organizing, and workflows with minimal prompting.
- The product aims for high reliability in long-running workflows, persistent context, and real-world task completion, with the goal of reducing hallucinations.
- The company's objective is to organize anyone's life, allowing users to focus on valuable and meaningful activities.
- ActAI operates as a high talent density, hands-on team that makes decisions collectively and moves at rapid speed, balancing quality work with learning.
- The team values structure, judgment, and independent execution to deliver a magical product.