Frontier AI Infra Engineer (Kubernetes & Security)

P2P

San Francisco (CA)

On-site

USD 210,000 - 290,000

Full time

14 days+

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Job summary

Paradigm, a San Francisco-based investment firm focused on frontier technologies, is hiring an Infrastructure Engineer for Applied AI. You will build and maintain core services that coordinate agent runs, ensure durable state, and harden a Kubernetes-based sandbox runtime for secure AI workloads.

You will also manage secure credentialing for API access, maintain reliability and observability, and enable self-hosted deployment of Centaur across organizations.

Qualifications

  • A track record of building world-class products.
  • Experience applying modern AI and software systems to solve complex, ambiguous problems end-to-end.
  • Comfortable navigating everything from foundational models to full-stack product delivery.
  • Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals.
  • Ability to work autonomously and as a collaborator on the team.

Responsibilities

  • Control plane and durability: Own the core services that coordinate agent runs, keeping execution state durable and recoverable through restarts, failovers, and everything that goes wrong in production.
  • Execution runtime: Build and harden the sandboxed, Kubernetes-based runtime that isolates agent sessions, covering provisioning, lifecycle, and the network controls that make untrusted agent code safe to run.
  • Secrets and secure egress: Maintain the credential model that lets agents call third-party APIs without ever holding raw keys.
  • Reliability and observability: Own monitoring, alerting, incident response, and the failure-recovery behavior the system relies on.
  • Self-hosted deployment: Keep Centaur something any organization can run inside its own walls, with clean deployment, sane configuration, and painless upgrades.

Skills

Product development
AI systems
Foundational models
Pragmatic product mindset
Autonomous / collaborative

Tools

Kubernetes

Job description

Paradigm, a San Francisco-based investment firm focused on frontier technologies, is hiring an Infrastructure Engineer for Applied AI. You will build and maintain core services that coordinate agent runs, ensure durable state, and harden a Kubernetes-based sandbox runtime for secure AI workloads.

You will also manage secure credentialing for API access, maintain reliability and observability, and enable self-hosted deployment of Centaur across organizations.

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