Prime Intellect is building the foundation for decentralized AI development at scale, combining distributed training infrastructure with an intuitive developer experience.
The company has raised $15 million in funding, totaling $20 million, with participation from notable investors and industry leaders.
The role is a hybrid position that spans both the developer platform and infrastructure layers, focusing on two key areas: the developer-facing platform for AI workload management and the underlying distributed infrastructure for training systems.
Core responsibilities include building web interfaces for AI workload management, developing REST APIs and backend services in Python, creating real-time monitoring tools, and implementing user-facing features for resource management.
Additionally, the role involves designing and implementing distributed training infrastructure in Rust, building high-performance networking components, creating automation pipelines with Ansible, managing cloud resources, and implementing scheduling systems for various hardware.
Requirements:
Strong backend development skills in Python, particularly with FastAPI and async programming.
Proficiency in modern frontend development using TypeScript, React/Next.js, and Tailwind.
Experience in building developer tools and dashboards, as well as RESTful API design and implementation.
Systems programming experience with Rust is required.
Knowledge of infrastructure automation tools such as Ansible and Terraform.
Familiarity with container orchestration using Kubernetes and expertise in cloud platforms, preferably GCP.
Experience with observability tools like Prometheus and Grafana is necessary.
Nice to have: experience with GPU computing and ML infrastructure, knowledge of AI/ML model architecture, high-performance networking implementation, contributions to open-source infrastructure, and experience with WebSocket/real-time systems.
Benefits:
Competitive compensation package that includes significant equity and token incentives.
Flexible work arrangements, allowing for remote work or work from the San Francisco office.
Full visa sponsorship and relocation support are provided.
A professional development budget is available for courses and conferences.
Regular team off-sites and opportunities for conference attendance are offered.
The position provides an opportunity to shape the future of decentralized AI development and work alongside experienced engineers and researchers in the field.
