AI Infrastructure Engineer

Job Summary

To support the development of AI agents, the full-time AI Infrastructure Engineer will design, build, and maintain tooling and services for deploying AI systems in production environments, utilizing Python or Go and Kubernetes, while working remotely in the U.S.

Key responsibilities

• Build and maintain internal CLIs, SDKs, and services for provisioning, deploying, testing, and debugging AI agents
• Design and operate production-grade AI agent infrastructure on Kubernetes and Terraform across multiple cloud platforms
• Develop CI/CD systems and self-service tooling to enhance automation and streamline workflows for AI deployments

Required qualifications

• 5+ years of experience in infrastructure, platform, or backend engineering (7+ years for senior roles)
• Strong software engineering skills in Python or Go with experience in building tools or services for other engineers
• Hands-on experience running LLM workloads in production, including serving with vLLM or similar technologies
• Proficient in Kubernetes, including writing or extending operators/controllers
• Experience with Terraform and at least one major cloud provider (Azure, Oracle Cloud, GCP, or AWS)