Job Url: https://www.remoterocketship.com/company/qdrant-tech/jobs/ai-engineer-united-states-remote Job Description: Qdrant Website LinkedIn All Job Openings Qdrant is a leading open-source vector database and similarity search engine designed for high-dimensional data, enabling advanced AI applications. It offers products such as Qdrant Cloud and hybrid deployment options, providing powerful capabilities for recommendation systems, data analysis, and anomaly detection. Built with a focus on performance and scalability, Qdrant is engineered in Rust to deliver speed and reliability, catering to the needs of developers and enterprises looking to integrate vector similarity searches into their applications. Deep Tech β€’ Search Engine β€’ Open-Source β€’ Vector Search β€’ Rust 51 - 200 employees Founded 2021 πŸ€– Artificial Intelligence ☁️ SaaS 🏒 Enterprise πŸ’° $28M Series A on 2024-01 AI Engineer 6 days ago πŸ—½ New York – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– AI Engineer Python PyTorch Tensorflow Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. β€’ We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications. β€’ You’ll play a dual role β€” driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. β€’ Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs. β€’ Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain). β€’ Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines. β€’ Collaborate with product and engineering teams to define and deliver impactful features. β€’ Support developers and users via GitHub, Discord, and other community channels. β€’ Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions. β€’ Represent Qdrant at conferences, meetups, and webinars β€” both as a speaker and technical expert. β€’ Create educational content such as blog posts, tutorials, sample projects, and documentation. β€’ Collect feedback and insights from the community to inform product development. 🎯 Requirements β€’ Strong proficiency in Python. β€’ Solid understanding of machine learning concepts, embeddings, and vector search. β€’ Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face). β€’ Excellent communication skills; ability to explain technical topics to diverse audiences. β€’ Prior experience contributing to open-source projects or engaging with developer communities. β€’ Comfortable presenting and participating in public forums, events, or customer meetings. πŸ–οΈ Benefits β€’ Competitive compensation and equity options. β€’ Flexible remote work environment. β€’ Opportunity to shape the future of AI infrastructure and open-source tooling. β€’ A passionate, transparent, and supportive team. β€’ Regular team offsites and conference participation.