Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

About Us

About the Role

Key Responsibilities will include

• API Development & Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
• Agentic Workflows & RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
• Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
• LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
• SDK & Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
• Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
• Telemetry & Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
• Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
• Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
• Monitoring & Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
• Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience; 3+ years in ML or HPC environments.
• Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
• Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
• Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
• Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.

Preferred Qualifications

• Master’s degree in Computer Science, Machine Learning, or related field.
• Experience building inference and fine-tuning pipelines, as well as agentic workflows.
• Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
• Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
• Contributions to inference and GenAI model performance optimization.
• What's on Offer
• Apart from working with great people, we offer the below:
• Salary including housing & transport allowance
• Stock (RSU's) and performance related bonus
• 16 weeks fully paid Maternity Leave
• 6 weeks fully paid Paternity Leave
• Employee stock purchase scheme

• Child Education Allowance

• Relocation and immigration support (if needed)
• Life and Medical Insurance
• Live+ Well Reimbursement for health and recreational membership fees

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

OR

• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
• *References to a particular number of years experience are for indicative purposes only.
• Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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