Senior Full-Stack AI Application Engineer - iOS & VisionOS Emphasis

Senior Full-Stack AI Application Engineer - iOS & VisionOS Emphasis Position OverviewWe are seeking a Senior Full-Stack AI Application Engineer with strong expertise in native iOS and VisionOS development to design and deliver advanced AI-powered mobile and spatial computing applications. This role focuses on building intuitive, high-performance user experiences that leverage computer vision, machine learning, and immersive 3D interfaces to support engineering, manufacturing, and operational workflows.

You will own the application layer end-to-end while collaborating closely with cross-functional teams to ensure seamless integration across mobile, spatial, and web platforms.

Key Responsibilities

• Design, develop, and maintain native iOS (Swift/SwiftUI) and VisionOS applications for AI-enabled tools and operational workflows
• Develop immersive experiences on spatial and extended reality platforms for visualization, guided workflows, and interactive 3D environments
• Implement on-device machine learning inference for real-time analysis and visualization using mobile hardware capabilities
• Develop camera-based workflows optimized for challenging physical environments and guided user interaction
• Architect offline-first mobile solutions with local data storage and background synchronization
• Integrate mobile and spatial applications with backend services and web platforms for unified user experiences
• Build scalable interfaces for real-time notifications, alerts, and status updates
• Contribute to full-stack web applications supporting analytics, monitoring, and reporting use cases
• Optimize application performance, reliability, and usability for extended daily use
• Collaborate with product, data, and infrastructure teams to align application design with backend systems and AI pipelines Qualifications Education Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Experience
• A minimum of 5 years of full-stack software development experience
• At least 3 years of native iOS application development with production-level deployment Preferred Qualifications
• Experience developing VisionOS or spatial computing applications
• Background building mobile applications for industrial, operational, or field environments
• Experience integrating computer vision or AI capabilities into mobile or AR applications
• Familiarity with 3D rendering, spatial visualization, or immersive UI concepts
• Experience supporting products through full lifecycle from concept to production
• Exposure to enterprise mobile deployment or device management environments Soft Skills
• Strong interpersonal skills and ability to collaborate effectively with cross-functional teams
• Excellent written and verbal communication skills
• Proven ability to take ownership of complex projects from design through delivery
• Strong problem-solving skills with a proactive, solution-oriented mindset
• Meticulous attention to detail to ensure high-quality, reliable applications Technology Stack
• Swift, SwiftUI, VisionOS, RealityKit, ARKit
• Core ML, on-device inference frameworks
• React, Next.js, Python-based APIs (e.g., FastAPI or similar)
• Relational and caching databases (e.g., PostgreSQL, Redis)
• Cloud-based services and containerized environments
• RESTful and real-time communication patterns (e.g., WebSockets) Physical Requirements
• Ability to work in a standard office or hybrid environment
• Prolonged periods of working on a computer and mobile devices
• Ability to participate in design reviews, testing, and collaborative sessions as needed This job description may not be inclusive to the duties and responsibilities listed.

Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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