AI Engineer (London)
AI Engineer (London)
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Job Description
Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search recommendation systems and real-time machine learning applications.
We are growing fast and looking for passionate curious and driven team members who want to help shape the future of AI infrastructure.
Tasks
Were looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. Youll 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.
Engineering
- Design develop and optimize AI/ML features in Qdrants 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.
Community & Customer Engagement
- 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.
Requirements
- 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.
Bonus Points
- 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.
Benefits
- Competitive compensation and equity options.
- Flexible remote work environment.
- Opportunity to shape the future of AI infrastructure and open-source tooling.
- A passionate transparent and supportive team.
- Regular team offsites and conference participation.
Please note. This position only for candidates based in London UK.
Employment Type
Full Time
