Frontier AI Platform Engineer

Prime Intellect AI; San Francisco (CA); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity incentives

Visa sponsorship

Relocation support

Professional development budget

Team off-sites

Conference attendance

Job summary

Prime Intellect AI is building an open frontier AI platform. We seek a generalist software engineer to own features end-to-end, from design to deployment, targeting researcher and engineer users worldwide.

You’ll contribute to the developer surface, APIs, and services that train and deploy frontier models on cloud infrastructure. You will ship rapidly in an early-stage environment, balancing production stability with bold experimentation.

Qualifications

• Strong Python backend development with FastAPI (async).
• Modern frontend skills: TypeScript, React/Next.js, Tailwind.
• Experience building developer tools, dashboards, or platform products.
• RESTful API design and implementation.
• Comfortable with cloud platforms (GCP a plus) and containerized deployments.
• Infrastructure automation experience (Ansible, Terraform, Kubernetes).

Responsibilities

• Build intuitive web interfaces for AI workload management and monitoring.
• Develop REST APIs and backend services in Python.
• Own features end-to-end from design to deployment and operation.
• Create real-time monitoring and debugging tools for platform users.
• Implement user-facing features for resource management and job control.
• Deploy and operate services on cloud infrastructure.
• Contribute to internal tooling, automation, and developer experience improvements.

Skills

Python backend

Frontend development

Developer tools / dashboards

RESTful APIs

Cloud platforms (GCP)

Infrastructure automation

Tools

FastAPI

TypeScript

React/Next.js

Tailwind

Kubernetes

Terraform

Ansible

Job description

Prime Intellect AI is building an open frontier AI platform. We seek a generalist software engineer to own features end-to-end, from design to deployment, targeting researcher and engineer users worldwide.

You’ll contribute to the developer surface, APIs, and services that train and deploy frontier models on cloud infrastructure. You will ship rapidly in an early-stage environment, balancing production stability with bold experimentation.