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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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.