Qdrant is a cuttingedge technology company specializing in opensource Vector Search designed for nextgeneration AI applications. Our platform enables highperformance vector similarity search allowing businesses to unlock deep insights from unstructured data. By offering both opensource software and managed cloud solutions we empower developers and enterprises to build scalable AIdriven search and recommendation systems with ease.
Tasks
We are seeking an experienced Solution Architect with a strong background in databases search engines and machine learning. In this pivotal role you will collaborate closely with our clients to design and implement innovative solutions leveraging Qdrants vector database technologies. You will serve as a technical expert and trusted advisor guiding clients through the adoption and integration of our products to ensure their success.
Requirements
Key Responsibilities
- Client Collaboration: Engage with clients to understand their technical requirements and business objectives.
- Solution Design: Architect scalable and efficient solutions utilizing Qdrants vector database and cloud offerings.
- Technical Expertise: Provide indepth guidance on best practices for integrating Qdrants products into existing systems.
- PreSales Support: Assist the sales team with technical presentations demonstrations and proofofconcept projects.
- Workshops & Training: Lead technical workshops and training sessions for clients and partners.
- CrossFunctional Liaison: Act as a bridge between clients and internal teams including engineering and product development.
- Feedback Contribution: Relay client feedback to influence product enhancements and roadmap.
- Industry Insight: Stay updated on the latest trends in vector search machine learning and database technologies.
Qualifications
- Extensive knowledge of database systems and search engines.
- Understanding of vector search concepts.
- Strong programming skills in languages in Python.
- Familiarity with machine learning frameworks.
- Experience with cloud platforms and containerization (Docker Kubernetes).
Preferred Qualifications
- OpenSource Contribution: Experience contributing to opensource projects.
- Industry Experience: Background in AIpowered applications like recommendation systems NLP or computer vision.
- Distributed Systems Knowledge: Understanding of distributed computing and microservices architecture.
Benefits
- Remotefirst company culture.
- Opportunity to work with cuttingedge opensource technology.
- Competitive salary and comprehensive benefits package.
- Collaborative and dynamic work environment.
- Opportunities for career growth and advancement.
- A chance to be part of a rapidly growing company at the forefront of the search revolution.
Full remote position EU timezones only.