Senior AI Engineer

Overview UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with regional and international brands such as STC, Amazon, Gucci, and more. UXBERT Labs is 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).

Responsibilities

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

Job Details

Seniority level : Associate

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

#J-18808-Ljbffr