Lead AI Platform

Integrant is looking for game changers to join our team as "Lead AI Platform". The Lead AI Platform Engineer is responsible for bridging AI workloads with production-grade infrastructure, with a strong focus on NVIDIA AI stack, enabling high-performance, scalable, and optimized AI systems.

Requirements

• Translate AI/ML workloads into optimized infrastructure and deployment strategies
• Optimize model performance across GPU environments (latency, throughput, memory utilization)
• Design and implement inference and training pipelines using NVIDIA stack tools (TensorRT, Triton, NIM)
• Convert and optimize models across frameworks (PyTorch → ONNX → TensorRT)
• Analyze and resolve performance bottlenecks using profiling tools (GPU, memory, network)
• Improve GPU utilization and scheduling efficiency across clusters
• Design scalable distributed training and inference architectures
• Work closely with customers to define AI infrastructure strategies and deployment models
• Support production deployments including monitoring, rollback, and performance validation
• Conduct applied research to improve model efficiency and infrastructure utilization
• Mentor team members on AI infrastructure, optimization, and GPU systems

Benefits

• Six-month career advancing opportunities
• Supportive and friendly work environment
• Premium medical insurance [employee +family]
• English language development courses
• Interest-free loans paid over 2.5 years
• Technical development courses
• Planned overtime program (POP)
• Employment referral program
• Premium location in Maadi
• Social insurance