
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).
🔥 58 minutes ago
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51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).
• Become a search expert in vector search to solve real-world problems. • Provide deep technical expertise for customer engagements involving Qdrant, designing and deploying scalable, high-performance search solutions. • Lead architectural reviews, migration assessments, and workshops focused on search, agentic AI, and RAG solutions. • Understand customer requirements and use your skills to validate performance and result relevancy. • Work closely with Engineering, Developer Relations, and Support to ensure customers have a great experience with the product. • Continuously extend your semantic search skills and keep up with the latest use cases.
• 2+ years of technical solution delivery in a customer facing role. • Ability to articulate complex technical requirements. • Experience with Python and one other language. • Demonstrated success deploying Solutions using no-sql databases. • NICE TO HAVE: • Experience with Kubernetes and Cloud native deployments. • Experience with other Search solution (SOLR, Lucene etc.). • Machine Learning Engineering or equivalent solution design. • Experience tuning a complex system to gain performance and reliability.
• A competitive salary with additional perks. • Flexible working hours and async-friendly culture. • High ownership and real impact. • Open-source, engineering-driven culture. • Choose your own laptop equipment. • For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Apply Now🔥 16 hours ago
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