Staff Engineer, Frontier AI Training Platform

Prime Intellect, Inc.; United States; Remote; USD 150,000 - 300,000; Full time

Benefits offered by this job

Cash compensation $150K–$300K with equ

Flexible work arrangement (remote or S

Visa sponsorship and relocation

Professional development budget

Team off-sites and conferences

Open development and open-source focus

Job summary

Prime Intellect, Inc. is building a hosted training platform that lets users launch LoRA and full fine-tuning runs on managed GPU clusters. You’ll work across the developer-facing platform and the Kubernetes-based training infrastructure that runs the jobs.

We seek engineers with depth in Python backend development, frontend tooling, and platform experiences to ship a cohesive product surface using FastAPI, TypeScript, React/Next.js, and robust observability.

Qualifications

• Strong Python backend development.
• Frontend development experience with modern frameworks.
• REST and tRPC API design experience.

Responsibilities

• Build hosted training infrastructure using Kubernetes across multi-cluster environments.
• Develop Python control-plane agents and integration with GitOps workflows.
• Develop frontend surfaces (UI) with Next.js/React to monitor training jobs and dashboards.
• Collaborate on platform development including API backends (FastAPI) and tooling for observability.
• Support platform-throughput improvements like scheduling, autoscaling, and node-local caches.

Skills

Python backend development

Frontend development

API design

Tools

Kubernetes

FastAPI

TypeScript

React

Next.js

Terraform

Prometheus

Grafana

Job description

Prime Intellect, Inc. is building a hosted training platform that lets users launch LoRA and full fine-tuning runs on managed GPU clusters. You’ll work across the developer-facing platform and the Kubernetes-based training infrastructure that runs the jobs.

We seek engineers with depth in Python backend development, frontend tooling, and platform experiences to ship a cohesive product surface using FastAPI, TypeScript, React/Next.js, and robust observability.