Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
This hybrid role spans across our AI platform software engineering and infrastructure. You'll be instrumental in:
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
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)
New Feature Engineering: Collaborate with the engineering team to design and implement backend features.
API and Service Development: Enhance our platform’s REST APIs and backend services to support new capabilities and improve overall performance.
System Integration: Ensure seamless integration of new features into our existing infrastructure, maintaining high reliability and security standards.
Development & Infrastructure Skills
Backend Engineering: Proficiency in Python for developing automation scripts, REST APIs, and backend support tools.
Container & Cloud Technologies: Hands-on experience with Kubernetes and cloud platforms (GCP preferred).
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)
- 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
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.
Job details are sourced from the employer's original posting.
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Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and deployment for post-training at frontier scale.