Visiting Engineer - ContextHub

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and we’re building the training and tools to support them. Our mission is to empower everyone to build with AI. We have deep connections throughout the AI community, exciting technology, and wonderful teammates, and are seeking a lead engineer to join us on the Context Hub project. We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they need—solving the critical problem of agents hallucinating outdated APIs and parameters. Context Hub gained over 10,000 GitHub stars in its first two weeks, making it one of the fastest-growing open-source developer tools in the AI ecosystem. Published as @aisuite/chub on npm and MIT-licensed, the project already has thousands of curated API docs contributed by the community and is growing fast. Additionally, we are evolving Context Hub toward being a Stack Overflow for agents, where agentic feedback on the documentation will be used to help all other agents. We’re looking for a visiting AI Engineer to join the Context Hub team to lead the next stage of its development. This will shape the future of how AI coding agents gather context, write code, and give feedback that helps the whole community. . You’ll work directly with Andrew Ng and our team on the core product—building features [... source excerpt omitted ...] n source. You must already have authorization to work in the United States. This is a contract role with potential for growth. Here’s what you’ll do Own Context Hub end to end. You'll be the single-threaded leader for the product — responsible for its technical direction, growth strategy, and community health. You won't be handed a roadmap; you'll create it. Talk to developers and understand what they need. The best product decisions come from deep empathy with users. You'll engage directly with the developer community — through GitHub issues, user interviews, and usage data — to identify what to build next and why. Invent new ways for AI agents to discover and use knowled [... source excerpt omitted ...] ere's enormous room to push further: smarter retrieval, agent-to-agent knowledge sharing, self-improving documentation, private team contexts, and ideas we haven't thought of yet. You'll explore the frontier. Build and maintain the Context Hub CLI and core infrastructure, ensuring reliability and performance as usage scales across thousands of developers. Design and implement systems for intelligent documentation retrieval, versioning, and curation so that agents always get the most accurate and relevant context. Develop features that allow agents to annotate, enrich, and share knowledge across sessions—building toward a self-improving documentation ecosystem (the “Stack Ove