Senior AI Engineer

Super Experience for Information Technology; Saudi Arabia; On-site; SAR 90,000 - 120,000; Full time

Job summary

A leading digital design agency in Saudi Arabia is seeking a skilled developer to design and deploy full-stack applications. You'll work with cross-functional teams, integrating AI models into innovative solutions and utilizing platforms like AWS and Azure. The role involves rapid prototyping, troubleshooting complex issues, and optimizing applications for performance. Join us in making a significant impact on user experiences through advanced technology deployment.

Qualifications

• Proven experience in designing and developing full-stack applications.
• Strong knowledge of AI models and natural language processing.
• Experience with cloud platforms for application deployment.

Responsibilities

• Design, develop, and deploy full-stack applications.
• Collaborate with teams to prototype solutions rapidly.
• Utilize AI tools to build efficient multi-step workflows.
• Implement and manage cloud-based infrastructure.

Skills

Full-stack application development

AI model integration

Prototyping and iteration

Cloud infrastructure implementation

Troubleshooting complex issues

Tools

AWS

Azure

GCP

LangChain

LangGraph

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. 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

• 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.