Startups · AI

Member of Technical Staff - Production Engineering

Primeintellect · San Francisco · Remote

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About Primeintellect

Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.

About the role

Platform engineering at Prime Intellect sits on the path from a research idea to a running AI workload. Your core mandate is to make every engineering team faster and safer: turn recurring infrastructure and security needs into paved roads, self-service capabilities, and guardrails that help teams move from idea to production with confidence. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5+ years in infrastructure, platform, or security-focused engineering
  • Deep hands-on experience with Terraform or similar infrastructure-as-code tooling
  • Strong knowledge of cloud networking, IAM, secrets management, and CI/CD
  • Experience designing secure software delivery lifecycle environments from development through production
  • Production experience with Kubernetes or similar container orchestration platforms
  • Ability to debug across infrastructure layers and make sound trade-offs under ambiguity
More about this role

Prime Intellect is building the open superintelligence stack: infrastructure and tools that help ambitious AI teams train, evaluate, and deploy advanced models.

Platform engineering at Prime Intellect sits on the path from a research idea to a running AI workload. Your core mandate is to make every engineering team faster and safer: turn recurring infrastructure and security needs into paved roads, self-service capabilities, and guardrails that help teams move from idea to production with confidence.

This is a hands-on senior role with broad technical ownership. You will write code, set platform standards, and partner directly with research, product engineering, and security to improve how services are built, shipped, and operated.

Work at the intersection of cloud infrastructure and distributed, GPU-intensive AI workloads

Own foundational systems in a small, senior team where technical decisions have visible impact

Multiply the impact of other teams through secure defaults, automation, and a strong developer experience

Build reusable infrastructure-as-code and reliable CI/CD workflows for platform services

Design cloud foundations spanning compute, networking, identity, secrets,...

Read the full posting on Primeintellect's site ↗

Engineering

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