Qdrant is hiring an AI Engineer based in London. This role combines deep technical development with community collaboration. You will drive innovation in AI-driven search and vector database technologies while engaging directly with customers and the developer community.
What You'll Do
- Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs.
- Prototype and implement integrations with popular ML frameworks such as Hugging Face, OpenAI, and 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.
What We're Looking For
- Strong proficiency in Python.
- Solid understanding of machine learning concepts, embeddings, and vector search.
- Experience with at least one modern ML framework such as PyTorch, TensorFlow, or 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.
- Based in London, UK.
Nice to Have
- 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 such as talks, blog posts, or tutorials.
- Familiarity with the Qdrant ecosystem or similar technologies.
Technical Stack
- Python
- PyTorch
- TensorFlow
- Hugging Face
- OpenAI
- LangChain
Benefits & Compensation
- Competitive compensation and equity options.
- Flexible remote work environment.
- Regular team offsites and conference participation.
Work Mode
This role operates in a local-city mode and is based in London, UK.
Qdrant is an equal opportunity employer.
