
Qdrant is an open-source vector database that enables AI applications to perform high-performance similarity search over high-dimensional embeddings. It implements a production-ready vector searchβ¦

Qdrant is an open-source vector database that enables AI applications to perform high-performance similarity search over high-dimensional embeddings. It implements a production-ready vector searchβ¦
What: Open-source Rust-native vector similarity search engine and vector database
Founded: 2021 (Berlin)
Product: Self-managed deployments and Qdrant Cloud with features for hybrid search, multivector support, real-time indexing, and advanced metadata filtering
Funding: Raised multiple rounds including $7.5M seed, $28M Series A, and $50M Series B
Tech focus: High-performance vector search, custom storage engine (Gridstore), SIMD optimizations, HNSW, quantization
Unstructured data retrieval and similarity search for AI applications (semantic search, RAG, agents, recommendations).
2021
Software Development
7.5M
Seed reported in April 2023; participation from 42CAP, IBB Ventures and angel investors
28M
Series A announced January 23, 2024; existing investors participated
50M
Series B announced by the company; participation from Bosch Ventures, Unusual Ventures, Spark Capital and 42CAP
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Location : India (Applications from outside India will be automatically discarded)
Type : Full-Time β Remote
As part of the technical success organization you will be responsible with helping our clients deploy and tune qdrant. You will act as a technical expert delivering short term technical engagements with our clients. Working closely with Solutions architect, technical support and technical success you will be an integral part of making our enterprise customers successful.
Tasks
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.
Requirements
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; Vector Search engines would be a plus!
Benefits
A remote-first, international team working on cutting-edge AI infrastructure.
A competitive salary with additional perks.
Flexible working hours and async-friendly culture.
Regular team offsites and virtual events.
Hardware budget β choose your own setup.
Recruiting Agencies and Headhunters, please only via π΅πππ½π://π΅πΆπΏπ²π―ππ³π³π²πΏ.π°πΌπΊ?ref=qdrant
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