Job Description

Location: India (Applications from outside India will be automatically discarded)

Type: Full-Time – 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 – choose your own setup.


Recruiting Agencies and Headhunters, please only via 𝗵𝘁𝘁𝗽𝘀://𝗵𝗶𝗿𝗲𝗯𝘂𝗳𝗳𝗲𝗿.𝗰𝗼𝗺?ref=qdrant



Qdrant is powering the next generation of AI applications with advanced, high-performant vector similarity search technology. Our flagship product is the leading open-source Vector Search Engine. https://github.com/qdrant/qdrant

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