Startups · AI

Founding Engineer

Klavis AI · San Francisco, CA, US / Remote (US) · Remote

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About Klavis AI

High Quality Coding & Agentic Data for AI labs. Backed by Y Combinator.

About the role

We’re hiring a founding engineer who is genuinely exceptional at using LLMs and coding agents to build, test, debug, and ship real software.

What they're looking for

  • Have 3+ years of professional software engineering experience
  • Are extremely strong with LLMs, coding agents, and AI-assisted engineering workflows
  • Can build across Python, TypeScript, shell, Docker, Git, APIs, databases, and modern dev tools
  • Have strong taste for realistic long-horizon coding tasks, test design, agent workflows, evals, and edge cases
  • Care deeply about correctness, verification, reproducibility, and data quality
  • Move fast without accepting sloppy work
More about this role

Klavis AI is building high-quality agentic and coding data for frontier AI post-training .

Frontier models are increasingly bottlenecked not just by compute, but by the quality of the coding environments, trajectories, rubrics, rewards, and verification data used to train them. We build that data layer: long-horizon coding tasks, terminal-based software engineering environments, hidden-test verification, expert rubrics, gold trajectories, dockerized environments, and agentic tool-use workflows ready for RL and SFT. We already work with multiple frontier AI labs on production coding and agentic data.

Klavis is founded by Xiangkai Zeng and Zihao Lin . Xiangkai was a Senior Software Engineer on Google Gemini at Google DeepMind , where he built function-calling infrastructure, shipped agentic features, and co-authored the Gemini paper. Zihao was a Senior Software Engineer and Tech Lead at Lyft Recommendations ML and Nordstrom Data Infra , where he built products and infrastructure serving millions of users.

We’re hiring a founding engineer who is genuinely exceptional at using LLMs and coding agents to build, test, debug, and ship real software.

You should be the kind of engineer who...

Read the full posting on Klavis AI's site ↗

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