Lead development of Context Hub, an open-source CLI for AI agents to access up-to-date API docs. Own technical direction, build infrastructure for intelligent retrieval and community features, requiring 3+ years experience, TypeScript/Node.js proficiency, and strong LLM/AI agent knowledge.
10k – 15k/yr
On-site3+ YOEML Engineering
About the role
Responsibilities
Own Context Hub end to end: technical direction, growth strategy, and community health.
Talk to developers via GitHub issues, user interviews, and usage data to identify features.
Invent new ways for AI agents to discover and use knowledge (smarter retrieval, agent-to-agent sharing, self-improving documentation).
Build and maintain the Context Hub CLI and core infrastructure for reliability and performance.
Design systems for intelligent documentation retrieval, versioning, and curation.
Develop features for agents to annotate, enrich, and share knowledge.
Collaborate with open-source community: review contributions, triage issues.
Experiment with LLM-based approaches to validate, summarize, and improve documentation.
Instrument, monitor, and optimize performance and developer experience.
Work with Andrew Ng and team on roadmap and technical direction.
Collaborate with internal teams for content, processes, and AI-powered solutions.
Requirements
Product sense for developer tools; shipped something developers use.
Community instincts for open-source.
Strong proficiency in TypeScript/JavaScript and Node.js; experience with CLI tools, SDKs, or developer infrastructure.
Very strong understanding of LLMs and AI coding agents; built applications integrating language models.
Experience with npm package publishing, versioning, open-source maintenance.
Strong systems thinking: design APIs, data models, architectures.
AI fluency: familiarity with AI-powered coding tools (Claude Code, Codex).
Entrepreneurial mindset; self-starter in fast-paced environment.
3+ years professional software engineering experience.
Nice-to-Haves
Maintained popular open-source project (1,000+ stars).
Background in information retrieval, search, or knowledge graphs.
Experience with MCP (Model Context Protocol), tool-use frameworks, agent orchestration.
Familiarity with documentation-as-code, static site generators.
Graduate degree (Master’s or PhD) in Computer Science, AI, or related.
Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.
1 – 2
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