Member of Technical Staff (Full-Stack Engineer) at Kinetic Systems | California, US | Rezi

Member of Technical Staff (Full-Stack Engineer) at Kinetic Systems

Member of Technical Staff (Full-Stack Engineer)

Kinetic Systems · California, US

2 weeks ago

Member of Technical Staff (Full-Stack Engineer)

Kinetic Systems · California, US

20 days ago
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About the Role

As a Member of Technical Staff (Full-Stack Engineer), you will be closely involved in all aspects of engineering, with a particular focus on translating research into product, building core infrastructure and back-end systems, and developing user-facing websites and APIs.

Responsibilities

  • Design, build, and iterate on cloud infrastructure for running computer-use agents in secure environments
  • Build and maintain data pipelines to transform raw human data into high-quality training and evaluation assets
  • Develop evals, environments, and benchmarks that reflect real-world complexity

Requirements

  • Strong background in dev / cloud ops (e.g. Docker, Terraform, etc.)
  • Full-stack experience, capable of spinning up a production-ready website and handling both backend and frontend
  • Comfortable working long hours in a high-intensity, early-stage environment
  • Excited to be on-site in SF and collaborate closely with a small team
  • Interested in healthcare as an application (prior background not necessary)

Skills

  • React
  • NextJS
  • Tailwind
  • Docker
  • Terraform

Location

  • San Francisco, CA

Work Type

  • On-site
  • Full-time

Benefits

  • Unlimited PTO
  • Comprehensive health, dental, and vision coverage
  • 401(k)
  • Free lunch and dinner

About the Company

  • Kinetic Systems works at the intersection of computer-use agents, human data, and healthcare.
  • Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models.
  • Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
  • Join a team with founding-level impact and ownership.
  • Work with leading AI research and healthcare expertise.
  • Opportunity to advance AI research in one of its most meaningful application areas.