AI Infrastructure Engineer

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Implement and scale training pipelines for large transformer and LLM models
• 2
  Build and optimize inference services for low-latency and high-reliability experiences
• 3
  Work on GPU-level performance tuning, utilization, and bottleneck identification
• 4
  Collaborate with ML scientists to implement cutting-edge training and inference methods
• 5
  Mentor and develop other engineers on the team

RequirementsAI-extracted

• 5+ years of experience in software engineering with a strong track record of shipping high-quality products
• Hands-on experience with model training, model inference, or low-level GPU work
• Strong technical fundamentals and ability to write clean, reliable code
• Experience working in production environments at meaningful scale
• Typically: experience with cloud providers such as AWS or Kubernetes

Perks & BenefitsAI-extracted