Project description
About the Project: Over 5 billion people use traditional, non-AI-native apps daily for email, notes, tasks, and calendars. Our client's mission is to build proactive applications for everyday users who aren't accustomed to complex prompting. Their platform aims to bring intelligence to conversations, errands, organization, and workflows effortlessly. By focusing on persistent context, real-world task execution, and high reliability for long-running workflows, their app minimizes AI hallucinations—with the ultimate objective of organizing users' lives so they can focus on what truly matters.
Technical requirements
- Swift
- SPM
- SwiftUI
- SQL / noSQL
- TensorFlow Lite (on-device inference)
Responsibilities
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.
- 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.
Must have
- 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.
Recruitment process
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. Please note that due to the volume of applications, we will only contact selected candidates.
Got questions?
To learn more details about this job contact Joanna at [email protected]