Full-Stack Developer - AI Interface & Security Specialist

KAUST; Jeddah; On-site; SAR 180,000 - 240,000; Full time

Benefits offered by this job

Free on-campus housing

Health insurance

Round trip ticket

22 days of annual vacation

Additional benefits

Competitive tax-free salary

Job summary

KAUST invites applications for a Full-Stack Developer to build secure, cross-platform web interfaces for an AI-powered submicron imaging platform. You will create intuitive applications that operate across devices while managing complex imaging datasets and integrating with ML systems.

This role emphasizes real-time AI/ML integration, high-performance databases, and responsive 2D/3D visualizations to enable rapid data insights in a scientific research environment.

Qualifications

• 3+ years of full-stack web development experience.
• Backend development experience with Node.js, Python, or similar.
• Database experience with PostgreSQL, MongoDB or equivalent.
• Security implementation experience (authentication, encryption, secure APIs).
• Responsive design and cross-platform compatibility skills.

Responsibilities

• Build responsive web applications that work across laptops, tablets, and mobile devices.
• Design intuitive interfaces for AI model interaction and 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.
• Optimize performance for fast loading and efficient data retrieval.

Skills

Full-stack development

Backend development

Database expertise

Security implementation

Responsive design

Tools

Node.js

Python

PostgreSQL

MongoDB

Redis

RESTful APIs

WebGL

Three.js

D3.js

TensorFlow Serving

PyTorch

ONNX

Job description

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