AI/LLM Engineer (Saudi Arabia)

Eram Talent; Thuwal; On-site; SAR 180,000 - 240,000; Full time

Job summary

Eram Talent is seeking a qualified engineer to build, deploy, and evaluate an Arabic AI tutor for STEM education. The role involves preparing Arabic data, fine-tuning 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.

Applicants should hold an MSc in CS/AI or a related field, with hands-on LLM experience, strong Arabic and English skills, and a background in AI deployment and education tech.

Qualifications

• MSc in Computer Science, AI or related field, or BSc with at least one year of relevant experience.
• Hands-on experience in LLM fine-tuning, evaluation, and AI deployment.
• Professional proficiency in Arabic and English.
• Experience with RLHF/DPO, edtech, or math/programming education preferred.

Responsibilities

• Prepare Arabic training datasets from educational materials and platform interactions.
• Fine-tune, align, and evaluate LLMs using Shaheen III and Ibex platforms.
• Develop Arabic STEM benchmarks and student-safety guardrails.
• Integrate AI tutoring into the learning platform, including RTL interfaces.
• Deploy models for low-latency real-time tutoring interactions.
• Support school pilot, gather teacher feedback, and ensure data privacy.
• Comply with Saudi data protection requirements and contribute to reports.

Skills

Arabic NLP

LLM fine-tuning

Evaluation

AI deployment

Python

PyTorch

Hugging Face

Distributed training

Education

MSc in Computer Science/AI

BSc + 1 year relevant experience

Tools

PyTorch

Hugging Face Transformers

PEFT

TRL

DeepSpeed

FSDP

vLLM

Docker

Git

Job 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.