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 are looking for a Forward Deployed Engineer based in APAC region. As part of the Technical Success organization you will be responsible with helping our clients deploy and tune Qdrant.
You will act as a technical expert delivering short term technical engagements with our clients. Working closely with Solutions architect, technical support and technical success you will be an integral part of making our enterprise customers successful.
What you will ownBecome 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.
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
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
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.
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Skills Required
- 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
What We Do
Qdrant is an open-source vector database and search engine designed for AI applications. It enables fast, scalable similarity search for unstructured data, supporting use cases like semantic search, recommendation engines, and RAG systems. Built in Rust, it provides high-performance retrieval with metadata filtering and real-time updates, serving as a critical infrastructure component for developers building AI-powered platforms.
