Senior AI Systems Engineer

📋 Description

• Architect, deploy, and manage infra for distributed AI training.
• Scale and maintain resilient services for low-latency inference.
• Utilize MLflow for experiment tracking and model registry.
• Optimize multi-cloud compute and LLM serving performance.
• Collaborate with AI researchers and software engineers to productionize models.

🎯 Requirements

• Education: BS/MS/PhD in CS, Software Eng, or related field.
• Experience: 3+ years in AI/ML systems, HPC, or ML infra.
• Multi-Cloud & Compute: AWS plus AI-centric GPU clouds.
• Cloud-Native Orchestration: Docker and Kubernetes; SkyPilot.
• LLM Serving: Serving LLMs with vLLM.
• Data Engineering for AI: SQL/NoSQL/Parquet for ML pipelines; ASR bonus.