Developer Relations Engineer - San Francisco

Qdrant•San Francisco, CA

1d•Remote

About The Position

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. 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. This is an individual contributor role with ~60% hands-on technical work and ~40% community, content, and speaking.

Requirements

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.
Technical Depth: You have a strong coding background in Python, Rust, Typescript, 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.

Responsibilities

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.