Senior AI Engineer

Supertech Group; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

A technology-oriented firm in Saudi Arabia seeks an experienced full-stack developer to design and deploy applications using AI models. The ideal candidate has over 10 years of experience, proficiency in both frontend and backend technologies, and strong expertise in handling Large Language Models (LLMs). This role requires collaboration with cross-functional teams to drive innovative solutions in a dynamic work environment.

Qualifications

• Minimum 10+ years of experience in full-stack development.
• Proficiency in frontend and backend technologies.
• Working knowledge of leading AI coding platforms.
• Strong expertise in Large Language Models (LLMs).
• Hands-on experience with LangChain and LangGraph.
• Proven ability in cloud platforms like AWS, Azure, GCP.

Responsibilities

• Design, develop, and deploy full-stack applications integrating AI models.
• Collaborate with cross-functional teams on rapid prototypes.
• Implement cloud-based infrastructure for hosting applications.
• Optimize applications for performance and reliability.
• Troubleshoot and debug issues across frontend and backend.

Skills

Full-stack development

Frontend technologies (React, Vue, Angular)

Backend technologies (Node.js, Python, Django, Flask, FAST API)

Large Language Models (LLMs)

Cloud platforms (AWS, Azure, GCP)

Live coding and rapid prototyping

Software engineering principles

Containerization (Docker)

Data engineering tools

DevOps practices

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

LangChain

LangGraph

AWS

OpenAI Cursor

Hugging Face Transformers

TensorFlow

PyTorch

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.

Qualifications

• 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.
• 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.
• Experience with additional AI frameworks like Hugging Face Transformers, TensorFlow, 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 DevOps practices to automate infrastructure and deployment processes.
• Strong communication skills to explain technical concepts to non‑technical stakeholders.