Responsibilities
- 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
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
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.
- 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.
Additional Information
- Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us!
