Job Details

Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications.

We are growing fast and looking for passionate, curious, and driven team members who want to help shape the future of AI infrastructure.

We're looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You'll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem.

This is a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community.

Engineering

• Design, develop, and optimize AI/ML features in Qdrant's core engine and SDKs.
• Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain).
• Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines.
• Collaborate with product and engineering teams to define and deliver impactful features.

Community & Customer Engagement

• Support developers and users via GitHub, Discord, and other community channels.
• Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions.
• Represent Qdrant at conferences, meetups, and webinars — both as a speaker and technical expert.
• Create educational content such as blog posts, tutorials, sample projects, and documentation.
• Collect feedback and insights from the community to inform product development.

• Strong proficiency in Python.
• Solid understanding of machine learning concepts, embeddings, and vector search.
• Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face).
• Excellent communication skills; ability to explain technical topics to diverse audiences.
• Prior experience contributing to open-source projects or engaging with developer communities.
• Comfortable presenting and participating in public forums, events, or customer meetings.

Bonus Points

• Contributions to AI infrastructure, vector databases, or search systems.
• Experience building ML-powered products in production.
• Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG).
• Public speaking or published technical content (talks, blog posts, tutorials).
• Familiarity with the Qdrant ecosystem or similar technologies.

• Competitive compensation and equity options.
• Flexible remote work environment.
• Opportunity to shape the future of AI infrastructure and open-source tooling.
• A passionate, transparent, and supportive team.
• Regular team offsites and conference participation.

Please note. This position only for candidates based in Bay Area.