About the role
About LanceDB LanceDB is a developer-friendly, open-source database for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking and challenging applications today.
About
the role We’re seeking an experienced Fullstack Engineer to join our world-class team, polishing the user experience of the frontier of high-performance vector databases in the cloud. You’ll be: Creating the most compelling experience for users to explore and manage their multimodal data. Closely working with the rest of team and designers to optimize user experience. Building scalable backends for LanceDB Cloud that offer a serverless experience for billion-scale datasets Fast pace with a stellar team of core contributors to incredible projects like Python Pandas, Arrow, Delta-rs, Hadoop, to define the next generation data system for AI Future leadership opportunities as
the team grows. Be the driving force to raise the bar and strive for better architecture and best practices within the company. Our tech stack: Typescript, React, Python, Rust, AWS / Google Cloud / Azure / K8s / Terraform
Requirements: You have at least 6 years of experience in developing front-end applications. You have a thorough understanding of Typescript, React/Next.js/Vercel, HTML, CSS, and can independently work with designers to build stunning applications. You have worked on both frontend UIs as well as backend applications, and the plumbing in-between. You’re obsessed with giving users the best end-to-end experience possible You care about simplicity, code quality and performance You like working with a small, fast-paced, high-caliber team with a lot of autonomy You have significant experience working with vector databases and/or distributed databases.
Nice to have: You are an open-source veteran, contributed to Open Source TypeScript projects. Familiar with cloud-native technology, such as K8s, AWS Lambda, and Terraform. Experience with large-scale and high-traffic systems. Experience with CI/CD and DevOps. Interaction design experience. About the LanceDB team: LanceDB was created by experts with decades of experience building tools for data science and machine learning. From co-authors of Pandas to Apache PMC of HDFS, Arrow, Iceberg and HBase, the LanceDB team has created open source tools used by millions world-wide.