Senior AI Engineer

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 leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group - which also includes Hala Yalla, Saudi's #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA, we are continuously expanding our innovation footprint.

We are seeking a talented AI Engineer to join our team and bridge the gap between innovative

ideas and real-world applications. In this role, you will focus on applying existing AI models and

tools to develop practical systems, rather than creating new AI algorithms from scratch. You will

be responsible for building robust, scalable applications that leverage large language models

(LLMs), full-stack development, cloud technologies, and rapid prototyping techniques. The ideal

candidate thrives in a fast-paced environment, excels at turning concepts into functional

prototypes quickly, and has a strong command of tools like Lang Chain and Lang Graph to

streamline AI workflows.

Design, develop, and deploy full-stack applications that integrate AI models, with a focus

on LLMs for tasks such as natural language processing, generation, and automation.

• Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.
• Utilize Lang Chain and Lang Graph to build efficient, stateful AI agents and multi-step workflows that apply existing models to solve real-world problems.
• Implement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and managing AI applications, including data pipelines, APIs, and deployment pipelines.
• Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.
• Optimize applications for performance, security, and reliability, ensuring seamless integration of AI components into user-facing systems.
• Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.
• Stay updated on emerging AI tools and best practices to continuously improve development processes and application efficiency.

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) and backend (e.g., PHP and Laravel, Node.js, Python, Django, Flask, FAST API) technologies.
• Working knowledge of leading AI coding platforms and tools, including Claude, OpenAI Cursor, and similar frameworks for building and integrating AI-driven applications.
• Strong expertise in working with Large Language Models (LLMs) such as GPT, BERT, or similar, including fine-tuning, prompting, and integration into applications.
• Hands-on experience with Lang Chain for chaining LLM calls and Lang Graph for building graph-based AI applications.
• Proven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for compute, storage, databases, and AI/ML (e.g., Sage Maker, 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, Tensor Flow, or PyTorch.
• Knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI applications at scale.
• Familiarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data pipelines.
• Background in Dev Ops practices to automate infrastructure and deployment processes.
• Strong communication skills to explain technical concepts to non-technical stakeholders.

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI projects that impact real-world applications.
• Flexible work environment with remote options.
• Professional…