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Salary
$200K–$300K
Moves you to
United States
Support
Visa sponsorship
Posted
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About the Role

Join the platform team at an AI company building agent-based products. You will develop the infrastructure and developer tools that help research and product teams run experiments, deploy agents reliably, and scale services for enterprise environments.

What You'll Do

  • Build and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and production environments.

  • Develop internal developer tools, automation, and shared libraries that improve engineering productivity.

  • Create reliable workflows for data management, model experimentation, evaluation, and deployment.

  • Improve build, test, and release systems to move work from prototype to production.

  • Monitor service and pipeline performance, diagnose bottlenecks, and improve reliability and reproducibility.

  • Design agent serving infrastructure, including availability, tracking, networking, security, and scaling.

  • Contribute to platform architecture and infrastructure strategy as the product grows.

What We're Looking For

  • Two to seven years of relevant experience, including launching or scaling product infrastructure.

  • Experience hosting and scaling agent infrastructure, deploying into enterprise environments, and designing for portability across cloud providers.

  • Strong software engineering fundamentals, including concurrency and software architecture, and experience building AI-native software.

  • Experience across AI domains beyond traditional analytics, data science, advertising, or recommendation systems alone.

  • Proficiency with AWS, GCP, or similar cloud platforms; Docker and Kubernetes; and CI/CD tools such as GitHub Actions and Terraform.

  • Experience with data pipelines, job scheduling, or ML experimentation workflows, and a CS or other highly technical STEM degree.

Compensation & Benefits

Salary range: $200,000 to $300,000 USD annually. Visa sponsorship is available.

Location

Remote within the United States. Primary location: Palo Alto, California.

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