AI Infrastructure Engineer

APPIT Software Inc.; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

APPIT Software Inc. in Abu Dhabi seeks an experienced infrastructure engineer to build and manage AI compute infrastructure. Responsibilities include designing GPU clusters and high-performance computing environments for large-scale AI workloads.

The ideal candidate has over 5 years of experience in infrastructure engineering with strong expertise in Kubernetes and cloud AI platforms. This is a full-time position in a dynamic AI & Machine Learning environment.

Qualifications

• 5+ years of infrastructure engineering experience, with 2+ years focused on AI/HPC workloads.
• Deep expertise in Kubernetes and GPU scheduling.
• Experience with cloud AI infrastructure and hybrid deployments.

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.
• Monitor infrastructure performance and implement capacity planning for AI demands.

Skills

Kubernetes

GPU Infrastructure

Terraform

Linux

Networking

Azure

Docker

HPC

Job description

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.

Location: Abu Dhabi, UAE – Full‑time – AI & Machine Learning

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, NVIDIA DGX systems or HPC cluster management, certifications in cloud platforms (CKA, AWS Solutions Architect).

Skills

• Kubernetes
• GPU Infrastructure
• Terraform
• Linux
• Networking
• Azure
• Docker
• HPC