iOS Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
iOS Software Engineer (AI): Building and maintaining a proactive AI chat application with an accent on AI-powered UX, performance, and reliability. Focus on integrating complex streaming interactions, optimizing memory and CPU usage for non-deterministic AI models, and ensuring a production-grade user experience.
Location: Remote (Must be based in China)
Company
is building a proactive AI chat application designed to handle long-running workflows, persistent context, and real-world task completion.
What you will do
- Build and maintain iOS applications using Swift and SwiftUI.
- Design UX patterns for AI interactions including streaming responses and fallbacks.
- Integrate AI features through backend APIs and optimize performance.
- Collaborate with ML engineers on system behavior and API design.
- Monitor and resolve production stability and performance issues.
- Capture user feedback to iterate on AI model evaluation and integration.
Requirements
- 3+ years of professional iOS development experience using Swift.
- Solid understanding of concurrency, async/await, and background tasks.
- Experience integrating AI-powered features into mobile applications.
- Strong performance and memory optimization skills.
- Comfort designing for latency, partial failure, and non-deterministic behavior.
- Familiarity with feature flags and remote configuration systems.
Nice to have
- Experience with CoreML or on-device ML.
- Understanding of TensorFlow Lite.
- Experience shipping production-grade apps on the App Store.
Culture & Benefits
- Focus on high talent density and small team collaboration.
- Emphasis on rapid execution and collective decision-making.
- Opportunity to work on products impacting a global user base.
- Hands-on environment with a focus on product quality and technical judgment.
Hiring process
- Technical evaluation by team members.
- 3 to 4 interview rounds via virtual meetings or onsite.
- Transparent and efficient feedback cycle with prompt decisions.
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