Graduate In Training Program (GIT), AI Engineer

Responsibilities

In this role, you will work under the guidance of senior engineers to build and maintain the building blocks of our AI framework.

• Development: Assist in building and re-using core AI components; help implement APIs and integrate them with adjacent systems.
• Front-End: Build user-facing features and responsive UI components that interact with AI models.
• Quality Assurance: Conduct foundational testing (Unit Tests, API testing) and help identify/debug performance bottlenecks.
• Documentation: Maintain clear documentation for all code and components you develop.
• Maintenance: Support the deployment and ongoing maintenance of live products.
• Learning: Proactively learn and apply best practices in software craftsmanship and AI integration.

Technical Competences

• Backend: Solid foundation in Python and a basic understanding of REST API development.
• Web Frameworks: Familiarity with at least one Python framework (FastAPI, Flask, or Django).
• Frontend: Proficiency in HTML, CSS, and JavaScript/TypeScript.
• Testing: Basic knowledge of testing frameworks like PyTest or PyUnit.
• AI Interest: A strong interest in Deep Learning (TensorFlow/PyTorch) and GenAI frameworks (LangChain/LlamaIndex).
• Cloud: Basic exposure to Cloud Services (GCP or AWS) is a plus.

Qualifications

• Recent graduate of year 2025 and 2026
• B.Sc. in Computer Science, Computer Engineering, Communication, Mechatronics, or Electronics.
• Strong academic foundation in Object-Oriented Programming (OOP) and Data Structures.
• Language Proficiency: Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
• Ability to work effectively in a team environment.

Program Details .

• Status: Full time.
• Location: On-site