Member of Technical Staff - Full Stack

Prime Intellect, Inc.; San Francisco (CA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Prime Intellect, Inc. is pioneering decentralized AI development. Join our team as a hybrid platform and infrastructure developer, where you'll work on advanced AI workload management systems and distributed training infrastructure. Ideal candidates will have strong skills in Python and Rust, along with experience in developing tools for AI applications. We offer competitive compensation, significant equity, and opportunities for professional development.

Benefits

Competitive compensation with equity and token incentives

Flexible work arrangement (remote or office)

Full visa sponsorship and relocation support

Professional development budget

Regular team off-sites and conference attendance

Qualifications

• Strong experience with FastAPI and async Python.
• Familiarity with modern frontend tech (React, TypeScript).
• Experience in developing developer tools and monitoring dashboards.

Responsibilities

• Develop intuitive web interfaces for AI workload management.
• Implement distributed training infrastructure components.
• Manage cloud resources and create automation pipelines.

Skills

Python backend development

TypeScript

React

Rust

Ansible

Kubernetes

Job description

Building the Future of Decentralized AI Development

At Prime Intellect, we're building the foundation for decentralized AI development at scale. Our platform combines powerful distributed training infrastructure with an intuitive developer experience, enabling researchers and engineers to train state-of-the-art models collaboratively.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

Role Impact

This is a hybrid role spanning both our developer platform and infrastructure layers. You'll work on two key areas:

1. Our developer-facing platform for AI workload management

2. The underlying distributed infrastructure that powers our training systems

Core Technical Responsibilities

Platform Development

- Build intuitive web interfaces for AI workload management and monitoring

- Develop REST APIs and backend services in Python

- Create real-time monitoring and debugging tools

- Implement user-facing features for resource management and job control

Infrastructure Development

- Design and implement distributed training infrastructure in Rust

- Build high-performance networking and coordination components

- Create infrastructure automation pipelines with Ansible

- Manage cloud resources and container orchestration

- Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)

Technical Requirements

Platform Skills

- Strong Python backend development (FastAPI, async)

- Modern frontend development (TypeScript, React/Next.js, Tailwind)

- Experience building developer tools and dashboards

- RESTful API design and implementation

Infrastructure Skills

- Systems programming experience with Rust

- Infrastructure automation (Ansible, Terraform)

- Container orchestration (Kubernetes)

- Cloud platform expertise (GCP preferred)

- Observability tools (Prometheus, Grafana)

Nice to Have

- Experience with GPU computing and ML infrastructure

- Knowledge of AI/ML model architecture and training

- High-performance networking implementation

- Open-source infrastructure contributions

- WebSocket/real-time systems experience

What We Offer

- Competitive compensation with significant equity and token incentives

- Flexible work arrangement (remote or San Francisco office)

- Full visa sponsorship and relocation support

- Professional development budget for courses and conferences

- Regular team off-sites and conference attendance

- Opportunity to shape the future of decentralized AI development

Growth Opportunity

You'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.

We value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you.

Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.