Prime Intellect

Member of Technical Staff - Training Platform

Prime Intellect5 days ago
Location

San Francisco

Type

Full Time

Salary

USD 150,000 – 300,000

Level

Senior

Role

Backend Engineer

Posted

May 11, 2026

Full TimeSenior

The role

Summary

Prime Intellect is seeking a Member of Technical Staff to build and enhance their hosted training platform for AI model development, focusing on Kubernetes-based infrastructure and developer-facing tools that enable seamless model training and deployment across multi-cluster environments.

What you'll do

Hosted Training Infrastructure: Design and operate Kubernetes-based training and inference orchestration across multi-cluster, multi-cloud environments
Platform Development: Build developer-facing surfaces for hosted training, including job submission, live run monitoring, and real-time debugging tools
Research Interface: Interface with RL trainers, inference servers, and environment servers to productize new training capabilities

What we look for

Technical

AI InfrastructureDeep understanding of modern AI stack, GPU hardware, and distributed training fundamentals
Kubernetes ExpertiseStrong experience with Kubernetes operations, including Helm, CRDs, operators, and GPU scheduling
Programming SkillsProficiency in Python backend development, control-plane agents, and frontend technologies

Education

Computer ScienceBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Cloud InfrastructureMinimum 3-5 years of experience in cloud infrastructure, Kubernetes, and AI/ML platform development

Skills

Required skills

KubernetesExpert-level knowledge of Kubernetes operations and infrastructure management
PythonStrong backend development skills with FastAPI and async programming
AI InfrastructureDeep understanding of AI model training, fine-tuning techniques, and GPU computing

Nice to have

Cloud PlatformsExperience with GCP, particularly GKE, Cloud Run, and Cloud Tasks
Frontend DevelopmentProficiency in TypeScript, React, Next.js, and Tailwind CSS

Compensation & benefits

Salary

USD 150,000 – 300,000 (annual)

Stock options

Available

Benefits

Professional Development

Budget for courses and conference attendance

Visa Sponsorship

Full visa sponsorship and relocation support

Remote Flexibility

Flexible work arrangement with remote or San Francisco office options

Team Events

Regular team off-sites and conference attendance


Interview process

  1. 1
    Initial Screening Resume review and preliminary phone or video interview
  2. 2
    Technical Assessment Coding challenge focusing on Kubernetes, Python, and AI infrastructure skills
  3. 3
    Technical Interviews In-depth discussions with engineering team members covering system design, AI infrastructure, and platform development
  4. 4
    Final Interview Meeting with leadership to discuss alignment with company mission and team culture

Apply for this position

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