ML Platform & Infrastructure Engineer

AGI, Inc.
San Francisco, CA
Job Description
Build the future of everyday AGI by designing and implementing robust CI/CD pipelines, scalable evaluation harnesses, and internal research tooling. Develop comprehensive tracking for model latency, GPU utilization, and inference cost, and build dashboards and alerting systems for real-time visibility into system performance and reliability.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • 3+ years in Software Engineering, MLOps, or ML Infrastructure
  • Strong Python proficiency
  • Experience building internal developer tools, CLIs, or dashboards
  • Experience with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes)

Benefits

  • Competitive company-sponsored medical, dental, and vision insurance
  • Top-tier relocation and immigration support
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