Search Solutions Engineer
Search Solutions Engineer
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Job Description
Were the team behind Qdrant the powerful opensource vector search engine built for the next generation of AI applications. From semantic search and recommendation systems to LLMpowered applications our technology helps developers and enterprises unlock the full potential of unstructured data. Our community is growing fast and so is the demand for scalable productionready vector databases. Were looking for a talented Solutions Engineer to help our users and customers succeed with Qdrant.
Tasks
As a Solutions Engineer youll be the technical bridge between our product and our users. Youll work closely with customers developers and our internal product and engineering teams to ensure seamless adoption and integration of Qdrant into realworld AI applications. Whether helping a startup scale its recommendation engine or guiding a Fortune 500 company through a proofofconcept youll bring expertise clarity and confidence to every interaction.
What Youll Do
- Act as a trusted technical advisor to customers during presales onboarding and postsales engagements.
- Understand client requirements and design tailored solutions using Qdrant and adjacent tools in the AI/data ecosystem.
- Build technical demos PoCs and reference architectures.
- Assist with performance tuning deployment strategies and integration best practices.
- Provide feedback to the product and engineering teams to help shape Qdrants roadmap.
- Contribute to technical documentation tutorials and community support channels.
- Represent Qdrant at meetups webinars and conferences as a subject matter expert.
Requirements
What Were Looking For
- 3 years of experience in a Solutions Engineering Developer Advocate or similar customerfacing technical role.
- Strong understanding of vector search similarity search and machine learning workflows.
- Proficiency in Python and familiarity with common AI/ML libraries (e.g. Hugging Face Faiss PyTorch TensorFlow).
- Experience working with databases (SQL NoSQL) and cloudnative environments (Docker Kubernetes cloud services).
- Excellent communication skills with the ability to explain complex topics to both technical and nontechnical audiences.
- Passion for opensource software and engaging with developer communities.
Benefits
Nice to Have
- Prior experience with Qdrant or similar vector search tools.
- Contributions to opensource projects.
- Knowledge of semantic search embeddings LLMs and RAG architectures.
- Familiarity with RESTful APIs and gRPC.
Join us
- Work on cuttingedge technology in a fastgrowing field.
- Be part of an opensourcefirst company with a global community.
- Collaborate with a passionate friendly and expertlevel team.
- Competitive salary equity options and flexible remote work.
- Opportunity to shape how vector search is used in production at scale.
Employment Type
Full Time
