Field Engineer, Qdrant
More information about location
Open-source vector search engine for AI
Be an early applicant
Open-source vector search engine for AI
21-100 employees
Be an early applicant
More information about location
21-100 employees
Company mission
Qdrant's mission is to empower businesses to build and deploy semantic neural search on your data in minutes.
Role
Who you are
- 3+ years in a technical implementation, systems engineering, or similar role
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration tools (Docker, Kubernetes)
- Strong understanding of networking, security, and distributed systems
- Proficiency in at least one programming language, preferably Python and / or GoLang
- Familiarity with database technologies, including vector databases and search systems like Elasticsearch or Solr
Desirable
- Experience working with open-source technologies and contributing to them
- Ability to script and automate infrastructure tasks
- Background in AI or machine learning applications, such as recommendation systems or NLP
What the job involves
- We are looking for a skilled Field Engineer to join our engineering team
- This role focuses on onboarding customers from an infrastructure standpoint and delivering technical demos when needed
- As a Field Engineer, you will work closely with clients and internal teams to ensure seamless deployment, integration, and utilization of Qdrant’s technologies
- You will play a crucial role in bridging the gap between technical implementation and client success
- Customer Onboarding:
- Guide clients through the deployment and configuration of Qdrant’s technologies on various cloud and on-premise infrastructures
- Support customers in setting up scalable and secure environments tailored to their use cases
- Infrastructure Expertise:
- Assist with infrastructure design and optimization to ensure high availability, performance, and resilience of Qdrant solutions
- Provide support for containerization, orchestration (e.g., Kubernetes), and cloud integrations
- Technical Demos & Proof of Concepts (PoCs):
- Conduct hands-on technical demonstrations to showcase the capabilities of Qdrant
- Build and present proof-of-concept implementations that align with customer requirements
- Troubleshooting & Support:
- Diagnose and resolve technical challenges during the integration and deployment process
- Serve as an escalation point for complex customer issues requiring engineering input
- Collaboration with Internal Teams:
- Work with the Cloud Engineering Team to incorporate feedback from customer interactions into product development
- Collaborate with the sales team to provide pre-sales technical guidance when necessary
Our take
In many cases, documents may have too few keywords, or queries might be too large for the usual full-text search to provide the desired result. In such cases, the search either finds no intersections or returns a lot of irrelevant results. Qdrant is setting out to solve this problem with a neural network-based semantic search which can be used stand-alone or in conjunction with traditional search.
Qdrant utilizes applied AI and metric learning to provide users with an open-source neural search engine. This engine has proven popular with businesses looking to turn their unstructured data into an asset. The possible applications of this technology greatly vary, from product recommendations in e-commerce to image recognition and analysis of anomalies.
The trust and capital that leading investors have placed in Qdrant will allow it to develop and scale its technology further, with a focus on enterprise solutions and expanding its business team. This will be invaluable to the company as it continues to innovate and increase its consumer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jan 2024
$29.1m
SERIES A
Apr 2023
$8.5m
SEED
Total funding: $39.9m
Company benefits
- Working in a passionate international team
- Flexible working hours
- Company events
- Choose any hardware
- Remote/home office possible
- Relocation and visa support (EU Blue Card)
- A collaborative and supportive work environment with opportunities for growth and advancement
- The chance to make a significant impact on an innovative technology with the potential to reshape industries
Company HQ
Prenzlauer Berg, Berlin, BE
Leadership
Andre Zayarni
(CEO & Co-Founder)Previously created JobBot-me, and served as CPO and CTO of MoBerries GmbH.
Andrey Vasnetsov
(CTO & Co-Founder)Previously worked as a Machine Learning Engineer as Tinkoff.ru, and was Lead Data Scientist at MoBerries.
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