Member of Technical Staff - Full Stack Software Engineer

Prime Intellect

$150K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong experience in Python backend development with FastAPI and async frameworks
  • Proficient in modern frontend technologies including TypeScript, React/Next.js, and Tailwind
  • Experience in developing developer tools, dashboards, and platform products
  • Skilled in RESTful API design and implementation
  • Familiarity with cloud platforms, preferably GCP, and containerized deployment methods
  • Ownership mentality with a strong focus on shipping production-ready code
  • Experience in infrastructure automation tools like Ansible, Terraform, and Kubernetes

Responsibilities

  • Build user-friendly web interfaces for AI workload management and monitoring
  • Develop REST APIs and backend services using Python
  • Own features from design through deployment to operational support
  • Create tools for real-time monitoring and debugging of platform services
  • Implement features focused on user resource management and job control
  • Deploy and maintain services within a cloud infrastructure
  • Enhance internal tooling and automate processes to improve developer experience

Benefits

  • Flexible work arrangement including options for remote work or office in San Francisco
  • Full visa sponsorship and relocation assistance for eligible candidates
  • Professional development budget allocated for courses and conference participation
  • Regular team off-sites and opportunities to attend industry conferences
  • Significant equity incentives in addition to base cash compensation
  • Chance to influence the direction of open AI development through meaningful contributions
Full Job Description
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
  • Strong Python backend development (FastAPI, async)
  • Modern frontend development (TypeScript, React/Next.js, Tailwind)
  • Experience building developer tools, dashboards, or platform products
  • 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
  • Infrastructure automation experience (Ansible, Terraform, Kubernetes)


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
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 a strong generalist engineer who is passionate about democratizing AI development, 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.

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