We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Engineer (London) at Qdrant. Location Information: United Kingdom - Remote. . 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. . 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.. . Engineering. . . 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.. . . 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.. .