AI Engineer

Required Qualifications:

Bachelor's degree in Software Engineering, Computer Science, or a related field.

6–8+ years in software, DevOps, or platform engineering, including at least 2 years in an applied AI or ML engineering capacity.

Proven delivery of production AI/LLM systems — not only research or notebook-stage work.

Strong Python; comfortable with Bash and YAML.

Deep hands-on experience with Kubernetes, Docker/Podman, and Terraform.

Production experience with at least one major cloud (Azure preferred; OCI or GCP acceptable).

Demonstrated ownership of CI/CD at scale (Azure DevOps, GitHub Actions) and GitOps release models.

Experience leading a team and setting engineering standards across multiple squads.

Preferred Qualifications:

Master's degree in Applied AI, Machine Learning, or a related discipline.

Fine-tuning experience with QLoRA/LoRA on GPU clusters; PyTorch and Transformers.

Vector database experience (Milvus, Pinecone, or Weaviate) and RAG retrieval design.

Experience delivering on Saudi government or large-scale national digital platforms, with familiarity in local compliance and standards.

Arabic and English professional proficiency