Solutions Engineer - EMEA

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We're growing our European field team and looking for a Solutions 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. You'll work closely with senior engineers and account executives, learn how enterprise AI systems are designed and sold, and own technical engagements with customers. What you will own 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 Qdrant's 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. Who you are 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: you've 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 wasn't in the room when it was made. Self-directed: you're 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). Why join us 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. 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! For information on how we handle your personal data, please refer to our Recruitment Privacy Policy Apply To This Job