Member of Technical Staff - Full Stack Software Engineer

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.

Role Impact

This is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.

Core Responsibilities

Build intuitive web interfaces for AI workload management and monitoring

Develop REST APIs and backend services in Python

Own features end-to-end, from design through deployment and operation

Create real-time monitoring and debugging tools for users of the platform

Implement user-facing features for resource management and job control

Deploy and operate services on cloud infrastructure

Contribute to internal tooling, automation, and developer experience improvements

Technical Requirements

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

RESTful API design and implementation

Comfortable working with cloud platforms (GCP a plus) and containerized deployments

A bias toward shipping, ownership of production code, and pragmatic engineering judgment

Nice to Have

Interest in or exposure to ML/AI workloads

WebSocket / real-time systems experience

Open-source contributions

Observability tooling (Prometheus, Grafana)

Prior experience at an early-stage startup

What We Offer

Cash compensation range of $150–300k with significant equity 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 open AI development

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 a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.