Salary
💰 $170,000 - $230,000 per year
Tech Stack
PythonTypeScript
About the role
- Role Description We’re looking for an expert Developer Educator / Technical Writer to help AI builders learn faster, solve problems, and bring their ideas to life.
- As part of our Developer Awareness team, you’ll design and deliver materials that simplify AI workflows, answer questions quickly, and make it easy to get started.
- The ideal candidate has hands-on experience building AI agents and applications with modern frameworks, APIs, and tools. That experience should shine through in our docs and tutorials.
- Most of your time will be spent producing technical resources, with occasional opportunities to present your work in webinars or at events.
- You’ll work closely with our product & engineering teams to ensure our docs, examples, and code samples are up-to-date and aligned with how developers are actually building.
- Your work will directly shape the onboarding experience and long-term success of Galileo’s developer community.
- Main Responsibilities Write clear, concise, and consistent documentation ( https://v2docs.galileo.ai/ ) 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.
- Tooling and process improvement : Work closely with the engineering team to improve the documentation system, incorporating automation to streamline and enhance the documentation process.
- Collect and incorporate user feedback for continuous improvements to the docs experience and efficacy.
Requirements
- 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.