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    Infographic showing various job openings at R2 Technologies in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

    iOS AI Mobile Engineer (Core ML & Apple Intelligence) - Q126

    R2 Technologies Corporation

    Alpharetta, GA • On-site

    $50.50 - $69.50/hr

    Full-time

    Re-posted 2 days ago

    Job description

    Overview:
    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
    About R2 Technologies: R2 Technologies is... (Same as above)
    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.
    • Actively utilize AI-assisted coding tools (Xcode AI, Cursor, Copilot) to accelerate UI generation, write boilerplate SwiftData models, and optimize complex logic.
    • 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.

    Skills:
    IOS,Apple

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