13 days ago

Forward Deployed Engineer

Qdrant

Hybrid
Full Time
$120,000
Hybrid
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Job Overview

Job TitleForward Deployed Engineer
Job TypeFull Time
Offered Salary$120,000
LocationHybrid
Map of Hybrid

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Job Description

About Qdrant

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.

Role Overview

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 Own

  • Become 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.

Who You Are

  • 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

Nice to Have

  • 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

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

Key skills/competency

  • Forward Deployed Engineer
  • Vector Search
  • AI Applications
  • Semantic Search
  • RAG
  • AI Agents
  • Python
  • NoSQL Databases
  • Kubernetes
  • Customer Engagements

Tags:

Forward Deployed Engineer
Vector Search
AI Infrastructure
Semantic Search
RAG
AI Agents
Python
NoSQL
Kubernetes
Customer Success Engineer

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How to Get Hired at Qdrant

  • Tailor your resume: Highlight experience with vector search, AI applications, Python, and NoSQL databases.
  • Showcase customer success: Emphasize your technical solution delivery in client-facing roles.
  • Prepare for technical questions: Be ready to discuss Qdrant, search solutions, and AI concepts.
  • Demonstrate collaboration: Illustrate your ability to work with engineering and support teams.
  • Research Qdrant: Understand their mission, funding, and role in AI infrastructure.

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