AI Engineer - ContextHub

career•Mountain View, CA

30d•$10,000 - $15,000

About The Position

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and weâre building the tools to empower them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they needâsolving the critical problem of agents hallucinating outdated APIs and parameters.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. Weâre looking for an AI Engineer to join the Context Hub team and help shape the future of how AI agents interact with developer documentation. Youâll work directly with Andrew Ng and our team on the core productâbuilding features that are used by thousands of developers and their AI coding agents every day. This is a hands-on engineering role where youâll design and build infrastructure, improve how agents discover and consume documentation, and help grow Context Hub from a powerful CLI into a comprehensive knowledge platform for AI agents. If you are who we look for, you are highly GenAI-enabled, leverage AI-powered tools to build and ship quickly, and bring deep curiosity about AI agents and developer tooling, and a passion for open source. You must already have authorization to work in the United States. This is a contract role with potential for growth.

Requirements

Strong proficiency in TypeScript/JavaScript and Node.js, with experience building and shipping CLI tools, developer SDKs, or developer-facing infrastructure.
Solid understanding of LLMs and AI agentsâyouâve built applications that integrate with or orchestrate language models, and you stay current with the rapidly evolving AI tooling landscape.
Experience with npm package publishing, versioning, and open-source project maintenance.
Strong systems thinking: you can design APIs, data models, and architectures that are clean, extensible, and well-documented.
AI fluency: Strong conceptual understanding of AI trends and technologies. Familiarity and experience with AI-powered coding tools such as Claude Code, Codex or similarâhaving built or prototyped software with AI assistance.
Entrepreneurial mindset: Self-starter comfortable working in a fast-paced, small-team environment where you own projects end to end and thrive in ambiguity.
3+ years of professional software engineering experience.

Nice To Haves

Experience maintaining a popular open-source project (1,000+ stars).
Background in information retrieval, search, or knowledge graph systems.
Experience with MCP (Model Context Protocol), tool-use frameworks, or agent orchestration platforms.
Familiarity with documentation-as-code workflows and static site generators.
Graduate degree (Masterâs or PhD) in Computer Science, AI, or a related field.

Responsibilities

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 sessionsâbuilding toward a self-improving documentation ecosystem (the âStack Overflow for AI coding agentsâ vision).
Collaborate with the open-source community to review contributions, triage issues, and maintain a high-quality contributor experience.
Experiment with LLM-based approaches to automatically validate, summarize, and improve documentation quality.
Instrument, monitor, and optimize the toolâs performance and developer experience based on real-world usage patterns.
Work closely with Andrew Ng and the engineering team to define the product roadmap and technical direction for Context Hub.
Collaborate with internal teams to create content, processes, and AI-powered solutions for scalable support of the developer community around Context Hub.

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