Full-Stack Developer - AI Interface & Security Specialist
Summary
Build secure, cross-platform web apps for an AI-powered imaging platform, integrating ML models and managing large imaging datasets with responsive design and encryption.
King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
Location
King Abdullah University of Science and Technology (KAUST)
Description
We're seeking a Full-Stack Developer to build secure, cross-platform web interfaces for our AI-powered submicron imaging platform. You'll create intuitive applications that work seamlessly across devices while managing complex imaging datasets and integrating with machine learning systems.
What You'll Do
- Build responsive web applications that work across laptops, workstations, tablets, and mobile devices
- Design intuitive interfaces for AI model interaction and advanced image analysis
- Manage high-performance databases optimized for large-scale imaging datasets
- Implement security measures including encryption, authentication, and secure data transmission
- Integrate AI/ML models into web interfaces with real-time inference capabilities
- Create data visualizations for 2D, 3D, and point cloud data representation
- Optimize performance for fast loading and efficient data retrieval
Compensation Package
- Competitive tax-free salary
- Free on-campus housing
- Health insurance
- Round trip ticket
- 22 days of annual vacation
- Additional benefits
Qualifications
Required Experience
- 3+ years in full-stack web development
- Backend development experience (Node.js, Python, or similar)
- Database expertise with PostgreSQL, MongoDB, or similar systems
- Security implementation experience (authentication, encryption, secure APIs)
- Responsive design and cross-platform compatibility skills
Technical Skills You'll Use
- Backend: Node.js/Python, RESTful APIs, microservices architecture
- Database: PostgreSQL, MongoDB, query optimization, caching (Redis)
- Visualization: D3.js, Three.js, WebGL (for 3D/point cloud data)
Bonus Points
- Experience with AI/ML integration (TensorFlow Serving, PyTorch, ONNX)
- 3D visualization and point cloud data experience
- Advanced security certifications or expertise
- Please do not send your CV to the Professor through e-mail or LinkedIn account. Candidates who do so will be excluded.
Please Submit
- Code samples (GitHub links preferred)
- Brief cover letter explaining your interest in AI/scientific applications