Senior Ai Engineer

7 days ago


Riyadh, Saudi Arabia Supertech Group Full time

Do you want to love what you do at work? Do you want to make a difference, an impact, transform people’s lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you’re looking for. **UXBERT Labs** is one of the best digital and user experience design agencies in the GCC working with the biggest regional and international brands such as STC, Amazon, Gucci and more. UXBERT Labs is part of the Supertech Group also consisting of Hala Yalla, Saudi’s #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA.

**Key Responsibilities**:
- Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.
- Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.
- Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.

**Requirements**:
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (or equivalent experience).
- Minimum 10+ years of experience in full-stack development, with proficiency in frontend (e.g., React, Vue, Angular) and backend (e.g., Node.js, Python, Django, Flask, FAST API) technologies.
- Proven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for compute, storage, databases, and AI/ML (e.g., SageMaker, Vertex AI).
- Demonstrated skills in live coding and rapid prototyping to quickly validate and implement ideas.
- Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile methodologies.
- Excellent problem-solving skills and the ability to work independently or in a team to deliver high-quality results under tight deadlines.- Experience with additional AI frameworks like Hugging Face Transformers, TensorFlow, or PyTorch.
- Familiarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data pipelines.
- Background in DevOps practices to automate infrastructure and deployment processes.
- Strong communication skills to explain technical concepts to non-technical stakeholders.


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