AI System Engineer
Role Overview
We are seeking an AI System Engineer who bridges back-end AI systems, spatial databases, and native mobile app development (iOS/Swift). You will own end-to-end mobile app architecture, model integration, and core back-end infrastructure. You will be responsible for building, optimizing, and maintaining the mobile application (GUIDi Arm App)—ensuring real-time execution of edge AI models, seamless communication with hardware modules via Bluetooth (BLE), and sync with venue spatial databases.
Key Responsibilities
1. Mobile App Development & Architecture (iOS / Swift)
Lead native iOS application development (Swift / SwiftUI / Objective-C) for the GUIDi Arm App, implementing dual-role interfaces ("User" AI navigation & "Caregiver" tracking/telemetry).
Integrate device-level APIs for camera depth sensing, Bluetooth Low Energy (BLE) communication with the GUIDi Wearable hardware, and voice/audio streaming.
Implement voice command features and Over-The-Air (OTA) firmware update workflows inside the app.
2. Edge AI Model Integration & On-Device Processing
Deploy and run Computer Vision and Spatial AI models on-device using frameworks such as CoreML, Metal Performance Shaders, or ONNX Runtime.
Optimize real-time inference speed for depth sensing, barrier detection, and AI Scene Description to ensure low latency and minimal battery consumption on mobile devices.
3. Spatial Infrastructure & Database Engineering
Architect and maintain high-precision spatial database servers for coordinate-mapped 3D environments, barrier tagging, dynamic artifact positioning, and navigation paths across client venues.
Build data pipelines to sync indoor/outdoor spatial maps between cloud/local servers and the mobile app interface.
4. System Analytics & Telemetry Data Pipelines
Build real-time streaming endpoints for caregiver live tracking, route history, safety alerts, and device status monitoring.
Support back-end analytics pipelines for GUIDi Map’s enterprise venue dashboard, processing foot-traffic and spatial interaction data.
Requirements & Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mobile Engineering, Artificial Intelligence, or a related field.
Mobile & Software Engineering:
Demonstrated years of experience in native iOS app development (Swift / SwiftUI).
Demonstrated experience architecting and publishing iOS applications to production or enterprise deployment.
Strong knowledge of mobile design patterns, memory management, asynchronous programming, and BLE communication protocols.
AI & Edge Deployment:
Practical experience integrating AI/ML models into mobile applications (CoreML, TensorFlow Lite, ONNX Runtime, or OpenCV).
Proficiency in Python or C++ for back-end scripting and model deployment pipelines.
System & Spatial Backend:
Experience working with spatial data, RESTful APIs, WebSockets, gRPC, and cloud database integration.
For applcation, please send your CV and transcript to hr@ai-guided.com.