(Senior) Full-Stack Engineer

At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models.

Our ultimate goal? Openly accessible AGI that benefits everyone. But we can't do it alone and we want to do this together with you.

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

We are building the infrastructure for decentralized AI development at scale. We aggregate global compute and enable researchers to collaboratively train state-of-the-art models through distributed training across clusters.

As a Full-Stack Engineer, you'll play a crucial role in shaping the technological foundation of our decentralized compute platform.

We're seeking a passionate and skilled engineer who is driven by the challenge of creating a seamless and reliable experience for developers to build AI models at scale.

Responsibilities

Design, implement, and maintain the core backend services and APIs that power our decentralized compute platform, ensuring high performance, reliability, and scalability.

Collaborate with the product and design teams to define and prioritize features, and translate requirements into elegant, efficient, and maintainable code.

Optimize the platform's resource management, scheduling, and load balancing mechanisms to maximize the utilization and cost-effectiveness of our distributed compute resources.

Implement and continuously improve the platform's monitoring, logging, and alerting systems to ensure the health, security, and availability of our services.

Contribute to the development of our open-source projects and engage with the developer community to foster adoption, collaboration, and innovation.

Requirements

Extensive experience in building and scaling complex backend systems using Python and related frameworks (e.g. FastAPI).

Strong expertise in cloud platforms, particularly GCP, with hands-on experience in designing and managing scalable, fault-tolerant, and cost-effective architectures.

Familiarity with containerization technologies (e.g., Docker, Kubernetes) and infrastructure-as-code tools (e.g., Terraform, Ansible) for deploying and managing services in the cloud.

Knowledge of ML model training pipelines, frameworks (e.g., PyTorch, Ray, DeepSpeed, etc.) is a strong plus.

Experience with hardware infrastructure, including server hardware, networking equipment, and GPUs, is a strong plus.

If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, please still reach out!

Benefits & Perks

Competitive compensation, including equity and token incentives, aligning your success with the growth and impact of Prime Intellect.

Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco or Berlin.

Visa sponsorship and relocation assistance for international candidates.

Quarterly team off-sites, hackathons, conferences and learning opportunities.

Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.

We have recently raised a $5.5 million seed round from an awesome group of investors and angels, such as Clem from HuggingFace and Dylan Patel from SemiAnalysis.

If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

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