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QdrantQD

Developer Relations Engineer

Qdrant is an open-source vector database that delivers high-performance vector similarity search capabilities, catering to the evolving needs of the AI landscape.

Qdrant

Employee count: 51-200

United States only

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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 world’s 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. You’ll build end-to-end RAG pipelines, recommendation engines, and innovative AI search tools that demonstrate Qdrant's 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 Qdrant’s 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 what's 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 don't 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
  • 401k matching
  • Health/vision/dental/life insurance
  • Generous paid leave

Come work for the best vector search company on the planet and boost your career in AI!

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Qdrant

Learn more about Qdrant and their company culture.

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At Qdrant, we are pioneering a new era in data management by building the most efficient, scalable, high-performance vector database available. Established in 2021, our mission arose from the need to address the challenges of managing vast amounts of unstructured data that includes images, audio, video, and text. Traditional methods of data retrieval often fall short, particularly when it comes to handling this multifaceted data landscape. Our vector database is specifically designed to efficiently manage high-dimensional data, thus enabling advanced AI applications to flourish.

Since our inception, we have been thrilled to witness tremendous growth within our community, boasting thousands of users and millions of downloads of our open-source solution. Qdrant powers an impressive range of applications across the AI sector, from innovative startups to established enterprises. We owe this success to our dedicated leadership team, encompassing CEO and co-founder Andre Zayarni, and CTO and co-founder Andrey Vasnetsov, who together strive to enhance our offerings and ensure we remain at the forefront of the technology curve. We invite you to join us in creating the future of AI with our advanced vector similarity search technology, which is built for cloud-native scalability and high availability.

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