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# Developer Relations Engineer

- **Company:** Clera
- **Location:** Berlin, Germany
- **Salary:** €90,000.0 - €160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Large Language Models
- **Published:** August 6, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=5d73afc54d0d6683

## About the Role

* Engineering or Data Science background - you can read, write, and reason about code
 * Proficiency in Python; comfortable becoming a deep expert user of the platform
 * Proven experience creating developer-facing content: blog posts, tutorials, cookbooks, or videos
 * Experience in developer relations, community building, or a closely related function (user onboarding, support, feedback collection)
 * Active involvement or contributions in open-source communities; genuine OSS mindset
 * Strong public speaking and presentation skills - comfortable with both in-person and virtual developer audiences
 * Willingness to be on-site in Berlin on a regular basis with occasional conference travel

Nice to Have:

 * Impressive side projects or standout achievements from previous roles - we love hearing about these
 * Enthusiasm for talking directly to users to understand their needs and pain points
 * Experience working in small, high-accountability teams where ownership is the norm
 * Familiarity with LLM application development, AI agents, or related ML engineering workflows

## Description

We're hiring a Developer Relations Engineer to join a small, engineering-heavy team building one of the most widely adopted open-source platforms in the LLM engineering space. This is a rare opportunity to sit at the intersection of engineering, content creation, and community - helping developers worldwide build better AI applications through tracing, evaluation, and prompt management., * Own and continuously improve the developer documentation - make it the best in the category

 * Write blog posts, social content, and thought leadership pieces that define how engineers should think about LLM observability and AI application development
 * Create cookbooks, tutorials, and code examples that deliver real, practical value to users
 * Produce videos, demos, and engaging technical content (yes, memes welcome)
 * Build small applications and tools that support community growth in creative, unconventional ways
 * Engage deeply with the open-source community - onboard new users, gather product feedback, and be a trusted voice in the ecosystem
 * Represent the platform at developer-focused events, webinars, and user cohorts through public speaking and live demonstrations


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