Senior AI Engineer

Job description

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. the employer 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.

Requirements

• 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) 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 LangChain for chaining LLM calls and LangGraph 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., 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.

Skills