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 that deliver low-latency, high-reliability experiences for customers
• 3
  Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks
• 4
  Collaborate closely with ML scientists to implement cutting-edge training and inference methods
• 5
  Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform

RequirementsAI-extracted

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

Perks & BenefitsAI-extracted