About Us
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology.
Qdrant is redefining how developers build intelligent applications. As a high-performance vector search engine Qdrant powers contextual search RAG systems AI agents multi-modal retrieval and real-time recommendations for teams around the world. Developers rely on Qdrant Cloud Qdrant Open Source and our ecosystem to build fast scalable production-ready AI applications.
About the Role
As a Developer Relations Engineer you will be the face and voice of Qdrant in the heart of the worlds most active AI ecosystem. You are part engineer part educator and part community builder. Your mission is to empower developers to build sophisticated AI applications using Qdrant through high-quality content world-class demos and authentic community engagement.
We view this role as a high-velocity career accelerator. By joining us you will:
- Master the Modern AI Stack: Move beyond being a user of AI to becoming an expert in the underlying infrastructure (Vector Search Rust-based performance and RAG architecture).
- Build an Elite Network: Represent Qdrant at the highest levels of the SF tech scene collaborating with founders and engineers from LlamaIndex CrewAI Google DeepMind Mistral AI Neo4j and more
- Establish Thought Leadership: We provide the stage. You will be supported in speaking at premier conferences and publishing content that reaches hundreds of thousands of developers globally.
- Shape the Product: Act as the direct link between the developer community and our core engineering team directly influencing our roadmap and feature set.
This is an individual contributor role with 60% hands-on technical work and 40% community content and speaking.
Tasks
- Building Demos: Develop and maintain open-source showcase applications. Youll build end-to-end RAG pipelines recommendation engines and innovative AI search tools that demonstrate Qdrants power.
- Applied Innovation: Conduct research into emerging AI patterns (e.g. Long-context RAG Agentic workflows) to prototype new Qdrant use cases. You will experiment with cutting-edge embedding models and indexing techniques to define the next killer app for vector search.
- Content Creation: Produce educational resources that make complex concepts accessible. This includes writing deep-dive technical blog posts recording video tutorials and crafting clear useful tutorials.
- Technical Events: Lead Qdrants presence at hackathons and workshops from organizing our own challenges to mentoring developers in the middle of the night as they build their MVPs.
- Public Speaking: Deliver compelling presentations and live coding sessions at conferences and workshops that inspire developers to rethink whats possible with vector search.
- Community & Social Engagement: Actively participate in the AI developer community on platforms like Discord X (Twitter) LinkedIn and GitHub. Be the first responder to technical questions and a champion for developer needs internally.
- Local Leadership: Host and participate in local and regional meetups technical mixers and industry conferences. You will be the primary contact for the local AI scene.
Requirements
- Technical Depth: You have a strong coding background in Python Rust JavaScript or Go and a genuine fascination with vector search embeddings and LLMs.
- Communication Mastery: You can explain the how and the why of technical architecture with clarity and enthusiasm whether in writing or on stage.
- Local Presence: You are already plugged into (or eager to lead) the local tech community. You thrive in the high-energy environment of the AI engineering scene.
- Creative Mindset: You dont just follow tutorials; you create them. You enjoy finding creative ways to show off technical features through code and storytelling.
- Autonomy & Empathy: You are a self-starter who can work independently while maintaining deep empathy for the frustrations and successes of the developers you support.
Benefits
- Competitive Salary
- Remote-first
- Paid leave
Come work for the best vector search company on the planet and boost your career in AI!
Seeking candidates who can work from:
- Paris
- London
- Amsterdam
- Stockholm
- Dublin
- Barcelona
- Madrid
About UsPowering the next generation of AI applications with advanced and high-performant vector similarity search technology.Qdrant is redefining how developers build intelligent applications. As a high-performance vector search engine Qdrant powers contextual search RAG systems AI agents multi-mod...
About Us
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology.
Qdrant is redefining how developers build intelligent applications. As a high-performance vector search engine Qdrant powers contextual search RAG systems AI agents multi-modal retrieval and real-time recommendations for teams around the world. Developers rely on Qdrant Cloud Qdrant Open Source and our ecosystem to build fast scalable production-ready AI applications.
About the Role
As a Developer Relations Engineer you will be the face and voice of Qdrant in the heart of the worlds most active AI ecosystem. You are part engineer part educator and part community builder. Your mission is to empower developers to build sophisticated AI applications using Qdrant through high-quality content world-class demos and authentic community engagement.
We view this role as a high-velocity career accelerator. By joining us you will:
- Master the Modern AI Stack: Move beyond being a user of AI to becoming an expert in the underlying infrastructure (Vector Search Rust-based performance and RAG architecture).
- Build an Elite Network: Represent Qdrant at the highest levels of the SF tech scene collaborating with founders and engineers from LlamaIndex CrewAI Google DeepMind Mistral AI Neo4j and more
- Establish Thought Leadership: We provide the stage. You will be supported in speaking at premier conferences and publishing content that reaches hundreds of thousands of developers globally.
- Shape the Product: Act as the direct link between the developer community and our core engineering team directly influencing our roadmap and feature set.
This is an individual contributor role with 60% hands-on technical work and 40% community content and speaking.
Tasks
- Building Demos: Develop and maintain open-source showcase applications. Youll build end-to-end RAG pipelines recommendation engines and innovative AI search tools that demonstrate Qdrants power.
- Applied Innovation: Conduct research into emerging AI patterns (e.g. Long-context RAG Agentic workflows) to prototype new Qdrant use cases. You will experiment with cutting-edge embedding models and indexing techniques to define the next killer app for vector search.
- Content Creation: Produce educational resources that make complex concepts accessible. This includes writing deep-dive technical blog posts recording video tutorials and crafting clear useful tutorials.
- Technical Events: Lead Qdrants presence at hackathons and workshops from organizing our own challenges to mentoring developers in the middle of the night as they build their MVPs.
- Public Speaking: Deliver compelling presentations and live coding sessions at conferences and workshops that inspire developers to rethink whats possible with vector search.
- Community & Social Engagement: Actively participate in the AI developer community on platforms like Discord X (Twitter) LinkedIn and GitHub. Be the first responder to technical questions and a champion for developer needs internally.
- Local Leadership: Host and participate in local and regional meetups technical mixers and industry conferences. You will be the primary contact for the local AI scene.
Requirements
- Technical Depth: You have a strong coding background in Python Rust JavaScript or Go and a genuine fascination with vector search embeddings and LLMs.
- Communication Mastery: You can explain the how and the why of technical architecture with clarity and enthusiasm whether in writing or on stage.
- Local Presence: You are already plugged into (or eager to lead) the local tech community. You thrive in the high-energy environment of the AI engineering scene.
- Creative Mindset: You dont just follow tutorials; you create them. You enjoy finding creative ways to show off technical features through code and storytelling.
- Autonomy & Empathy: You are a self-starter who can work independently while maintaining deep empathy for the frustrations and successes of the developers you support.
Benefits
- Competitive Salary
- Remote-first
- Paid leave
Come work for the best vector search company on the planet and boost your career in AI!
Seeking candidates who can work from:
- Paris
- London
- Amsterdam
- Stockholm
- Dublin
- Barcelona
- Madrid
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