iOS Engineer (GRAI)

We are an innovative AI-powered music platform that’s transforming how people create, explore, and experience music. Our product leverages cutting-edge AI technologies to provide personalized music recommendations and unique features tailored to every music enthusiast. As we continue to grow, we’re looking for a iOS Engineer who will play a crucial role in driving our growth and helping us reach millions of music lovers worldwide.

• Develop and maintain high-performance iOS applications integrating generative AI for music and audio.
• Work closely with the design, backend, and machine learning teams to create seamless user experiences.
• Optimize real-time audio processing for smooth and efficient performance on iOS devices.
• Implement intuitive UI/UX components tailored for musicians, producers, and audio engineers.
• Stay updated on Apple’s latest frameworks, guidelines, and best practices for mobile development.

• Strong experience in iOS development using Swift and SwiftUI.
• Familiarity with Core Audio, AVFoundation, or other iOS audio processing frameworks.
• Experience with real-time audio processing and MIDI integration.
• Knowledge of RESTful APIs and working with backend services.
• Proficiency in performance optimization and memory management for mobile applications.
• Ability to work in a fast-paced, collaborative startup environment.

• Familiarity with Metal or Accelerate frameworks for high-performance computing.k
• Contributions to open-source music/audio projects.
• Understanding of audio plugin development (AUv3, VST, etc.).

• A chance to be at the forefront of AI-driven music innovation.
• Competitive salary and equity options.
• Flexible working environment (hybrid/on-site options).
• Opportunity to collaborate with top researchers, musicians, and engineers in the field.
• A dynamic startup culture with a focus on creativity and experimentation.

If you’re passionate about music, AI, and cutting-edge technology, we’d love to hear from you! Apply now and join us in shaping the future of generative audio.