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Infrastructure and Systems:
- Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and production systems.
- Monitor system performance and diagnose bottlenecks to improve reliability.
Developer Tools and Automation:
- Build internal developer tools, automation, and shared libraries for efficient workflows.
- Develop reliable workflows for data management, model experimentation, and deployment.
Process and Architecture:
- Improve build, test, and release processes for smooth production transitions.
- Contribute to platform architecture and scale agent hosting for availability, security, and cloud portability.
AI/ML Company
The company is an AI/ML firm focused on advancing agent research and product deployments through robust infrastructure and developer tools. It operates in a research and enterprise environment, emphasizing scalability and innovation.