Solutions Engineer (EMEA)
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Qdrant just closed a $50M Series B to build the retrieval infrastructure layer for modern AI. Our vector search engine written in Rust runs in production at engineering teams inside Canva HubSpot Tripadvisor Bosch and Deutsche Telekom. Were growing our European field team and looking for a Solutioins Engineer who wants to get into the room (or the call) where real AI infrastructure decisions get made.
This is a key role on a technical field team. Youll work closely with senior engineers and account executives learn how enterprise AI systems are designed and sold and own technical engagements with customers.
Tasks
- Support technical evaluations and proof-of-concept builds alongside senior Solutions Engineers and Account Executives helping prospects test Qdrant against their real workloads.
- Build demo environments sample integrations and reference architectures that showcase Qdrants performance advantages in RAG pipelines semantic search and agentic systems.
- Respond to technical questions from prospective customers translating infrastructure requirements into working solutions.
- Learn the competitive landscape across vector search and AI infrastructure and contribute to battlecards technical guides and internal knowledge bases.
- Represent Qdrant in online communities developer forums and European tech events as you build your own technical presence.
- Work directly with our product and engineering teams to surface customer feedback that shapes the roadmap.
Requirements
What Were Looking For
- 1 to 3 years of experience in software engineering data engineering solutions engineering or a closely related technical role
- Comfortable writing and reading code (Python required; experience with other languages is a plus)
- Genuine curiosity about AI infrastructure: youve built something with LLMs embeddings or vector search even if just as a side project
- Strong communicator in English written and verbal. You can explain a technical tradeoff clearly to someone who wasnt in the room when it was made
- Self-directed: youre comfortable figuring things out asking good questions and closing your own knowledge gaps without waiting to be told
- Based in Europe and available to work within European business hours
Nice to Have
- Exposure to vector search approximate nearest neighbor algorithms or semantic retrieval
- Experience with data pipelines cloud infrastructure or distributed systems
- Familiarity with RAG agentic AI frameworks (LangChain LlamaIndex CrewAI) or embedding models
- Background in a customer-facing technical role (support engineering developer advocacy technical writing)
Benefits
- Equity with meaningful upside in a well-capitalized fast-scaling company
- Medical dental and vision coverage
- Hardware budget: choose your own setup
- Annual learning and conference budget
- Flexible hours async-friendly culture and regular team offsites
Key Skills
About Company
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
