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Visiting Engineer - ContextHub

AI Fund· Deeplearning AI – Engineering
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Mountain View, CA$10k/mo - $15k/moContract to hirePosted 6mo ago

About the role

Lead engineer role for Context Hub to shape the future of how AI coding agents gather context, write code, and share knowledge; hands-on role building infrastructure, improving agent documentation discovery, and growing Context Hub from CLI to a knowledge-sharing platform. Contract to hire; on-site in Mountain View, CA.

Responsibilities

  • 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 knowledge. Context Hub started as a CLI for fetching docs, but there'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 Overflow for AI coding agents” 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 tool’s 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.

Qualifications

  • 3+ years of professional software engineering experience.
  • Strong proficiency in TypeScript/JavaScript and Node.js, with experience building and shipping CLI tools, developer SDKs, or developer-facing infrastructure.
  • Very strong understanding of LLMs and AI coding agents—you’ve built applications that integrate with or orchestrate language models.
  • 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 with AI-powered coding tools such as Claude Code, Codex or similar.
  • Entrepreneurial mindset: Self-starter in fast-paced, small-team environments.
  • Authorization to work in the United States.

Skills

Required:Product sense for developer toolsCommunity instinctsTypeScript/JavaScript and Node.jsLLMs and AI coding agentsnpm package publishing and OSS maintenanceAPI/design and data modeling
Nice to have:AI tooling familiarity (e.g., Codex, Claude Code)

Benefits

  • Note: Compensation is specified separately.
Last updated Oct 21, 2026. Interested? Apply on the company site.

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