Documentation Engineer
Remote$180k - $250kFull-timePosted 1w ago
About the role
Documentation Engineer at LanceDB focused on making Lance and LanceDB easier to understand and use, with emphasis on developer experience, runnable examples, and AI-agent–friendly documentation.
Responsibilities
- Core documentation: Create and maintain quickstarts, tutorials, conceptual guides, API references, and troubleshooting documentation for Lance and LanceDB.
- Documentation for AI agents: Design documentation agents can use reliably, including structured API descriptions, explicit prerequisites, complete examples, and clear error and recovery guidance. Evaluate it through agent-driven tasks to find where missing context or ambiguous instructions prevent agents from completing workflows correctly.
- Runnable examples: Build examples and sample applications that demonstrate workflows such as data ingestion, vector search, filtering, indexing, and multimodal data management.
- AI-assisted workflows: Use AI coding assistants and other AI tools to research the codebase, draft and revise content, generate examples, and automate maintenance, verifying outputs against product behavior and tested code.
- Documentation tooling: Maintain documentation tooling and automate checks for code examples, API references, links, and content quality.
- Partner closely with engineering and product teams to document new features alongside releases and keep existing guidance aligned with product changes.
- Develop and continuously improve documentation structure, navigation, and search so developers can find the right information at each stage of their journey.
- Use community questions, support feedback, and documentation usage to identify gaps and prioritize improvements.
- Represent LanceDB with open-source contributors, reviewing documentation changes and establishing clear contribution guidelines.
Qualifications
- 8+ years of experience in documentation engineering, developer-focused technical writing, software engineering, or a related role
- A proven track record of technical documentation, shown through a portfolio that explains complex concepts clearly and helps developers complete real tasks
- Experience designing documentation for consumption by AI agents, with an understanding of how content structure, context, and API clarity affect agent performance
- Demonstrated fluency with AI tooling, including coding assistants and LLM-based workflows, and sound judgment about how to validate their outputs
- Strong Python skills and the ability to write, run, and debug examples using APIs and SDKs
- Familiarity with databases, SQL, and data workflows, plus an interest in learning vector search and multimodal AI infrastructure
- Experience with Git, pull requests, Markdown, and documentation workflows integrated with software development
- Demonstrated ability to learn a product by reading code, experimenting with APIs, and collaborating with engineers
- Strong editorial judgment, attention to technical accuracy, and the ability to prioritize and work independently
Skills
Required:Documentation writing for developersPythonAI tooling and LLM workflows
Benefits
- Medical, dental, vision, and life insurance
- 401(k) retirement plan
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
- Commuter benefits
- Generous paid time off
- Paid parental leave program for birthing, non-birthing, adoptive, and foster parents
Last updated Oct 21, 2026. Interested? Apply on the company site.

About LanceDB
Designed for Multimodal. Built for Scale.
LanceDB is the first open-source AI-Native Multimodal Lakehouse.
Vector DatabaseMultimodal dataAI workloadsData infrastructureHybrid searchModel trainingStorageSearch
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