🚀 Developer Relations Engineer
📍 Remote | 💼 Employee | 💻 Software Development
🌟 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 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.