Continue builds an open-source toolkit and hub that connects any LLM to IDEs like VS Code and JetBrains, pulls context from Jira/Confluence, and provides modular assistants, blocks, and governance.
Continue is seeking an outstanding software engineer to help us build state-of-the-art autocomplete and codebase retrieval, who thinks rigorously and pays attention to the smallest details. In this role, you will work on fundamental, but highly open-ended problems where deliberate measurement, rapid experimentation, and empathy for users push forward the product. About you Please keep in mind that we are describing the background that we imagine would best fit the role. If you don’t meet all the requirements, but you are confident that you are up for the task, we absolutely want to get to know you! - You are proficient in TypeScript, Node.js, and React / Next.js - You are interested in AI engineering or machine learning - You have a good design sense and are highly detail-oriented - You are willing to simplify and make trade-offs in order to move quickly What you will do We’re a startup, so you’ll have to be ready to do whatever is required to accomplish our mission. However, you can definitely expect to: - Define and solve fundamental problems to improve core product metrics like autocomplete acceptance rate and codebase retrieval accuracy in our open-source product - Take ownership of the UI details that encompass your work by using your design sense, running experiments, and iterating from user feedback - Design thoughtful abstractions to underpin our product and potentially serve as open-source standards - Play a key role in our GitHub and Discord communities by answering questions and resolving problems