Write clear, concise, and consistent documentation and tutorials that help developers use Galileo in their AI agents and applications.
QA every tutorial and example to validate accuracy.
Build and maintain working code examples, reference implementations, and sample projects that demonstrate best practices.
Produce regular communications about new features for our developer community.
Collaborate with engineering to keep documentation in sync with product updates.
Author deep-dive technical blog posts and occasional learning courses.
Ensure content showcases popular approaches including LLM orchestration, agent frameworks, and toolchains.
Work closely with the engineering team to improve the documentation system, incorporating automation to streamline and enhance the documentation process.
Requirements
5-8 years of experience
Hands-on experience building AI agents and applications using LLMs, frameworks, and APIs.
Demonstrated ability to explain complex concepts with clarity and empathy.
A portfolio of technical content (docs, tutorials, blog posts, videos, or sample projects) that shows both depth and approachability.
Strong skills with Python and TypeScript.
Comfortable using developer tooling (Git, GitHub, CI/CD, notebooks, SDKs) and keeping pace with emerging AI technologies.
Nice-to-have: Experience designing structured learning paths or course curriculum for technical audiences.