# AI/LLM Engineer (Saudi Arabia)

> Eram Talent · Thuwal, Saudi Arabia · — · Posted 2026-10-14

**Workplace:** on_site

## Description

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.

## Apply

[Apply at Eram Talent](https://apply.workable.com/eramtalent-1/j/03815EAEE0/apply)

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