Senior AI Infrastructure Engineer

Job Summary

To support the development of cutting-edge AI-driven security products, the full-time Senior AI Infrastructure Engineer will design, build, and deploy LLM infrastructure and data platforms, working remotely while managing large-scale training pipelines and optimizing AI systems.

Key responsibilities

• Provision and configure large GPU clusters for LLM training and inference workloads
• Develop and optimize model-serving infrastructure, ensuring production readiness and performance
• Lead model lifecycle management, including versioning and checkpointing across deployments

Required qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related STEM field; Master's degree preferred
• 6+ years of experience in Infrastructure/Data Engineering, with at least 2 years focused on LLM-based platforms
• Hands-on experience in LLM infrastructure engineering, including cluster provisioning and optimizing workloads
• Exceptional coding skills with a focus on clean, performant, and well-tested code
• Demonstrated technical leadership and mentorship capabilities