iOS Software Engineer
Indexed description
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.
Role
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.
- 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.
- 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)
Interview process
If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.
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