Open Source Community Engineer
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Job Location:
Monthly Salary:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
TL;DR
Why deepset
OurHaystack Enterpriseoffering adds enterprise support while ourAI Platformhelps organizations solve next order challenges in testing governance and scaling. Were remote-first flexible and built on a culture of trust innovation and ownership. Youll collaborate with top-tier tech talent tackle meaningful challenges and help transform sophisticated AI into developer journeys and experiences that are personalized and powerful to support increased understanding adoption and success.
What you will do
As an ambassador for a large public-sector open-source AI initiative (built on Haystack) you will:
Technical Expertise & Support
Provide hands-on expertise with Haystack and Python to advance and extend the open-source framework.
Deliver expert-level support as the primary technical contact for users and stakeholders.
Implement patches updates and small product improvements to ensure stability and continuous enhancement.
Community & Ecosystem Development
Build nurture and engage a local developer and user community around the project and its underlying stack.
Create feedback loops by gathering input from users institutions and partners to help shape the product roadmap.
Develop capability-building materials (workshops guides demos) to increase adoption and understanding.
Outreach Visibility & Partnerships
Design and execute local awareness initiatives to increase visibility of the project and its value proposition.
Organize and host events such as hackathons meetups and webinars to foster engagement and learning.
Act as a liaison for public authorities municipal partners and institutional stakeholders to support collaboration.
On-Site Engagement
Spend at least 2.5 days per week on-site at a partner innovation campus in Heilbronn working closely with ecosystem stakeholders.
Requirements
2 years of experience in software engineering AI engineering or open-source development.
Strong Python skills; familiarity with Haystack or other LLM/IR frameworks.
Experience working with or in public sector environments is a strong plus.
Excellent communication skills and the ability to engage both technical and non-technical audiences.
Ability to lead workshops explain technical concepts clearly and support users effectively.
Comfortable working on-site in Southern Germany (minimum 2.5 days/week).
Fluency in German and English.
Nice to have
Experience in DevRel community management or developer advocacy.
Background contributing to open-source projects.
Knowledge of vector search NLP LLMs or retrieval-augmented architectures.
Familiarity with public-sector procurement data governance or institutional collaboration.
Experience organizing tech events meetups or hackathons.
Benefits
- Remote-first setup with flexible hours & tech of your choice
- 30 days vacation extra days for family sick leave
- Competitive salary & stock options for every team member
- Monthly sports & mental health support allowance with Oliva
- Annual learning & development budget
- Monthly team socials & in-person meetups
About us
Founded in 2018 deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack our open-source framework to the deepset AI Platform we give developers and organizations the building blocks to solve complex high impact challenges with AI with full control transparency and sovereignty. Backed by GV and Balderton were growing the worlds production AI community and customer base solving challenges too critical to get wrong.
Visit us to learn more:deepset WebsiteHaystack WebsiteGitHubLinkedinX deepset (Twitter)X haystack (Twitter)
Key Skills
- English
- User Interface
- Communication
- Content Writing
- Online
- Internet
- Youtube
- Management skills
- Digital speech
- Speaking skills
- Analytics
- Writing Skills
About Company
Our vision: We make machines understand language so that humans can achieve more. Our mission: To make custom AI solutions accessible to every organization, driving adoption and impact. By combining innovation with expertise, we simplify the complexity of LLM agent and application dev ... View more
