Member of Technical Staff - Full Stack Software Engineer

Kubelt; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation with equity and token incentives

Flexible work arrangement

Full visa sponsorship and relocation support

Professional development budget

Job summary

Kubelt is seeking a skilled developer to build and enhance their decentralized AI development platform in San Francisco. This hybrid role involves working on the developer platform for AI workload management and the underlying distributed infrastructure. Successful candidates will have strong skills in Python, modern frontend development, and systems programming with Rust, alongside a passion for democratizing AI. The position offers competitive compensation, flexibility in work arrangement, and professional development opportunities.

Qualifications

• 5+ years of experience in software engineering or a related field.
• Strong understanding of distributed systems and AI infrastructure.
• Experience with real-time systems and observability tools.

Responsibilities

• Develop and maintain the AI workload management platform.
• Design and manage distributed training infrastructure.
• Implement monitoring and debugging tools for system performance.

Skills

Strong Python backend development (FastAPI, async)

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

Systems programming experience with Rust

Infrastructure automation (Ansible, Terraform)

Container orchestration (Kubernetes)

Tools

GCP (Google Cloud Platform)

Prometheus

Grafana

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. Fresh off our $5.5M seed round backed by industry leaders like Clement Delangue (HuggingFace) and Dylan Patel (SemiAnalysis), we’re expanding our team to accelerate open‑source AGI development.

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.