An LLM – Training Mobile Engineer (Swift) is responsible for designing, integrating, and optimizing Large Language Model (LLM) features within iOS applications. This role emphasizes incorporating real-time data collection, fine-tuning strategies, and model behavior customization directly within the mobile environment. The engineer works with Swift and modern iOS frameworks to create user experiences that facilitate training signals (e.g., feedback, usage context) and improve LLM performance over time. Collaboration with ML teams, data scientists, and mobile architects is key to ensure robust, privacy-preserving, and scalable AI solutions on iOS devices. Strong Swift skills, familiarity with mobile ML toolkits, and experience with model training data pipelines are essential.

• Swift Programming
• iOS Development (UIKit, SwiftUI, Combine)
• Large Language Models (LLMs)
• On-Device Model Training (Core ML, TensorFlow Lite, Create ML)
• Prompt Engineering
• Data Collection & Feedback Loop Implementation
• Fine-tuning Strategy Support (Supervised / RLHF signals)
• Mobile Performance & Battery Optimization