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Open nowPosted 4 hours agoWe saw it 119 min after it went up

AI/LLM Engineer (Saudi Arabia)

Workable (global search)106,891 open roles

Where
Thuwal, Makkah Province, Saudi Arabia
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Your applicationOpen nowAI/LLM Engineer (Saudi Arabia)Workable (global search) · Thuwal, Makkah Province, Saudi Arabia

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  5. 33.9%30 days
This job: posted 4 hours ago

Workable (global search) median: 5 days open

The posting

This position is for building, deploying and evaluating Client's Arabic AI tutor for mathematics and computer science: preparing Arabic training data, fine-tuning, aligning and evaluating LLMs on Shaheen III and Ibex, and integrating the tutor into the learning platform for a pilot in at least 10 Saudi schools.

The position is part of the RDIA-funded project 5870, “An AI-Powered Arabic Tutoring Platform for STEM Education in the Kingdom.” Two engineers will be hired into this role.

Key Responsibilities

  • Prepare Arabic training datasets from educational materials and consented platform interactions.
  • Fine-tune, align, and evaluate commercial and open-source LLMs using Shaheen III and Ibex computing platforms.
  • Develop Arabic STEM benchmarks, preference-training methods, and student-safety guardrails.
  • Integrate AI tutoring capabilities into the learning platform, including Arabic right-to-left interfaces.
  • Deploy and optimize models for reliable, low-latency real-time interactions.
  • Support school pilot implementation, evaluation, and teacher feedback collection.
  • Ensure student data privacy and compliance with Saudi data protection requirements.
  • Contribute to research publications, technical reports, and project deliverables.

Qualifications & Experience

  • MSc in Computer Science, Artificial Intelligence, or a related field; alternatively, a BSc with at least one year of relevant experience.
  • Hands-on experience in LLM fine-tuning, evaluation, and AI application deployment.
  • Professional proficiency in Arabic and English.
  • Experience with RLHF/DPO, educational technology, or mathematics/programming education is preferred.

Technical Skills

  • Advanced Python and PyTorch.
  • Hugging Face Transformers, PEFT, and TRL.
  • Distributed GPU training using DeepSpeed or FSDP.
  • LLM evaluation, reward modeling, and preference optimization.
  • Arabic NLP, data pipelines, and OCR.
  • Model serving and inference optimization using tools such as vLLM.
  • APIs, Docker, Git, CI/CD, and production deployment.
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