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. Responsibilities: 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 LangChain and LangGraph 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 LangChain and LangGraph 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.