View on Hacker News
Roles
Compensation
USD 180000
Upto $180k + equity
Tech stack
Location
Remote (Global)
Work setup
- Employment
- Full-time Employee
- Level
- Mid-level
Contact
adarsh@lexoga.com
Description
We're building one of the most widely adopted open-source libraries for evaluating LLM applications - used by teams at Google, Amazon, and Databricks. As an early engineer, you’ll work on core features, improve developer experience, and help shape the future of LLM tooling. We’re looking for engineers with a strong track record in open-source & Python, especially in AI libraries. If you enjoy working on impactful tools and collaborating with a global developer community, we’d love to hear from you.
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