AI Infrastructure Engineer

APPIT Software Inc.

Employer Active

Posted on 9 Apr

Experience

5 - 7 Years

Job Location

Abu Dhabi - United Arab Emirates

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Build and manage AI compute infrastructure at APPIT Software in Abu Dhabi, designing GPU clusters, model serving platforms, and high-performance computing environments for large-scale AI workloads./p>

Abu Dhabi, UAE/div>
Full-time/div>
AI & Machine Learning/div> /div>
Responsibilities
  • Design and manage GPU cluster infrastructure for large-scale AI training and inference
  • Build high-performance model serving platforms with auto-scaling and load balancing
  • Implement networking and storage solutions optimized for distributed AI workloads
  • Manage cloud and on-premises hybrid AI infrastructure with cost optimization
  • Establish security, access control, and data sovereignty compliance for AI systems
  • Monitor infrastructure performance and implement capacity planning for growing AI demands
Requirements
  • 5+ years of infrastructure engineering with 2+ years focused on AI/HPC workloads
  • Deep expertise in Kubernetes, GPU scheduling (NVIDIA MIG, time-slicing), and container orchestration
  • Experience with cloud AI infrastructure (Azure, AWS, or GCP) and hybrid deployments
  • Knowledge of high-performance networking (InfiniBand, RDMA) and distributed storage systems
  • Strong Linux systems administration and automation skills (Ansible, Terraform)
  • Understanding of AI workload patterns and resource optimization strategies
Nice to Have
  • Experience with sovereign cloud or data residency requirements
  • Knowledge of NVIDIA DGX systems or HPC cluster management
  • Certifications in cloud platforms (CKA, AWS Solutions Architect)
Skills
KubernetesGPU InfrastructureTerraformLinuxNetworkingAzureDockerHPC

Desired Candidate Profile

Requirements
  • 5+ years of infrastructure engineering with 2+ years focused on AI/HPC workloads
  • Deep expertise in Kubernetes, GPU scheduling (NVIDIA MIG, time-slicing), and container orchestration
  • Experience with cloud AI infrastructure (Azure, AWS, or GCP) and hybrid deployments
  • Knowledge of high-performance networking (InfiniBand, RDMA) and distributed storage systems
  • Strong Linux systems administration and automation skills (Ansible, Terraform)
  • Understanding of AI workload patterns and resource optimization strategies
Nice to Have
  • Experience with sovereign cloud or data residency requirements
  • Knowledge of NVIDIA DGX systems or HPC cluster management
  • Certifications in cloud platforms (CKA, AWS Solutions Architect)

Company Industry

  • IT - Software Services

Department / Functional Area

  • IT Software

Keywords

  • AI Infrastructure Engineer

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APPIT Software Inc.

https://www.appitsoftware.com/careers/ai-infrastructure-engineer-abu-dhabi