Remote Frontier AI Platform Engineer (Full Stack)

Primeintellect; 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

Job summary

Prime Intellect is building the open superintelligence stack, providing a full-stack platform for post-training at frontier scale. We seek a generalist software engineer to own the product surface of Prime Intellect—the developer-facing platform, APIs, and services used to train and deploy frontier models.

You will own features end-to-end, from design through deployment and monitoring, shipping at startup pace on important AI infrastructure challenges.

Qualifications

• Strong Python backend development with FastAPI (async).
• Frontend experience with TypeScript and React/Next.js.
• Experience building developer tools, dashboards, or platform products.
• RESTful API design and implementation.
• Cloud platforms experience; GCP a plus; containerized deployments.

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 through 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 and developer experience improvements.

Skills

Python backend

Frontend development

REST APIs

Cloud platforms

DevOps tooling

Tools

FastAPI

TypeScript

React/Next.js

Tailwind

Prometheus

Grafana

Ansible

Terraform

Kubernetes

Job description

Prime Intellect is building the open superintelligence stack, providing a full-stack platform for post-training at frontier scale. We seek a generalist software engineer to own the product surface of Prime Intellect—the developer-facing platform, APIs, and services used to train and deploy frontier models.

You will own features end-to-end, from design through deployment and monitoring, shipping at startup pace on important AI infrastructure challenges.