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Senior AI Engineer

Computer Software

About the role

We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.

Responsibilities

  • Model Development - Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
  • Data Exploration & Analytics - Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
  • End-to-End Pipelines - Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
  • LLM & Agentic AI Engineering - Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
  • AI Automation & Integration - Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
  • Continuous Learning - Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
  • Mentor junior engineers and contribute to technical direction and engineering best practices.

Requirements

  • BSc in Computer Science, Mathematics, or related field.
  • 5+ years of professional experience working on AI/ML projects.
  • Good command of English and Arabic (written and spoken).
  • Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
  • Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
  • Experience with data wrangling and visualization (Matpl…
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