Implement secure data pipelines that dictate what context is processed locally (on-device) versus what is sent to Private Cloud Compute or enterprise LLMs.
Collaborate with backend AI engineers to ensure seamless synchronization between on-device models and enterprise RAG systems.
Benefits
Hybrid/Remote work options available.
Opportunity to work with cutting-edge AI technologies and frameworks.
Focus on user experience and privacy-first applications, enhancing skill set in state-of-the-art mobile app development.
Full Job Description
Job Title: iOS AI Mobile Engineer (Core ML & Apple Intelligence)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
Job Summary: Mobile apps in 2026 must be natively intelligent. R2 Technologies is looking for an iOS Mobile Engineer who understands how to bring Generative AI directly to the edge. You will build highly performant native iOS applications that leverage on-device AI-processing language and vision locally without relying solely on cloud APIs. Using modern Swift, Apple Intelligence frameworks, and AI coding assistants, you will build secure, offline-capable smart apps that deliver unparalleled user experiences.
Key Responsibilities:
Develop and maintain premium, high-performance native iOS applications using Swift 5.9+, SwiftUI, and modern concurrency (async/await, Actors).
Integrate Apple Intelligence and Core ML frameworks to run Small Language Models (SLMs) and Vision models directly on the user's device.
Build sophisticated voice, text, and visual interactions using App Intents and modern Siri integrations.
Implement secure data pipelines that dictate what context is processed locally (on-device) versus what is sent to Private Cloud Compute or enterprise LLMs.
Collaborate with backend AI engineers to ensure seamless synchronization between on-device models and enterprise RAG systems.
Qualifications:
Up to 3 years of hands-on experience in native iOS development using Swift and SwiftUI.
Strong understanding of iOS application architecture (MVVM, TCA) and local state management (SwiftData).
Familiarity with Core ML, Vision framework, or deploying optimized on-device machine learning models.
Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
Passion for UX excellence, mobile performance optimization, and building privacy-first AI applications.