iOS разработчик

The company builds AI-native products designed to transform how people manage communication, organization, workflows, and daily tasks. Its intelligent assistant technology focuses on real-world task completion, long-running workflows, persistent context, and reliable AI experiences.

• Build and maintain high-quality iOS applications using Swift and SwiftUI;
• Integrate AI-powered capabilities through backend APIs and platform services;
• Design seamless AI interaction patterns, including streaming responses, loading states, error handling, retry mechanisms, and user-friendly fallback experiences;
• Optimize application performance, memory consumption, responsiveness, and battery efficiency;
• Implement analytics and feedback mechanisms to support AI evaluation and product improvements;
• Collaborate with backend, platform, and machine learning teams on API design and product behavior;
• Maintain high standards of application quality, stability, testing, and production readiness;
• Contribute to architectural and technical decisions that support future growth and scalability;
• Deliver stable, reliable, and high-performing iOS applications;
• Improve user experience responsiveness and memory and CPU efficiency;
• Deliver AI-powered features that users trust and engage with regularly;
• Monitor production issues and resolve them rapidly;
• Continuously improve product quality, reliability, and user satisfaction;
• Influence product direction and technical strategy.

• 7+ Years of professional iOS development experience;
• Strong proficiency in Swift and SwiftUI;
• Experience building, shipping, and maintaining production iOS applications;
• Hands-on experience integrating AI-powered or intelligent product features into mobile applications;
• Understanding of Async/Await, Swift Concurrency, background processing, and API integration;
• Proven experience optimizing mobile performance and memory usage;
• Experience designing solutions that account for latency, partial failures, and unpredictable system behaviour;
• Strong problem-solving capabilities and attention to detail;
• Nice to have: Exposure to CoreML or on-device machine learning technologies, experience with TensorFlow Lite or similar mobile inference frameworks, familiarity with feature flagging and remote configuration systems, understanding of AI product design principles and user trust considerations, experience working within startup, scale-up, or high-growth environments.

• Equity/package may be available depending on experience;
• The interview process includes up to four stages, including technical assessments and discussions with key team members.