Full-Stack AI Application Engineer

We 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., * 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

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 building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today’s five billion mobile subscribers and finally bring broadband to the billions who remain unconnected.