AI Engineer, Qdrant
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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
+ Equity options
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
- Strong proficiency in Python
- Solid understanding of machine learning concepts, embeddings, and vector search
- Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face)
- Excellent communication skills; ability to explain technical topics to diverse audiences
- Prior experience contributing to open-source projects or engaging with developer communities
- Comfortable presenting and participating in public forums, events, or customer meetings
Desirable
- Contributions to AI infrastructure, vector databases, or search systems
- Experience building ML-powered products in production
- Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG)
- Public speaking or published technical content (talks, blog posts, tutorials)
- Familiarity with the Qdrant ecosystem or similar technologies
What the job involves
- We’re looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You’ll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem
- This is a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community
- Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs
- Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain)
- Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines
- Collaborate with product and engineering teams to define and deliver impactful features
- Support developers and users via GitHub, Discord, and other community channels
- Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions
- Represent Qdrant at conferences, meetups, and webinars — both as a speaker and technical expert
- Create educational content such as blog posts, tutorials, sample projects, and documentation
- Collect feedback and insights from the community to inform product development
Salary benchmarks
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
$29.4m
SERIES A
Apr 2023
$8.6m
SEED
Total funding: $40.3m
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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