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