Documentation Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Develop and sustain quickstarts, tutorials, conceptual guides, API references, and troubleshooting documentation for Lance and LanceDB.

• Create documentation that can be reliably utilized by AI agents, including structured API descriptions, clear prerequisites, complete examples, and guidance on errors and recovery.

• Assess documentation through agent-driven tasks to uncover missing context or unclear instructions.

• Construct examples and sample applications for data ingestion, vector search, filtering, indexing, and managing multimodal data.

• Leverage AI coding assistants and other AI tools to investigate the codebase, draft and refine content, produce examples, and automate maintenance tasks.

• Validate AI-generated outputs against product behavior and tested code.

• Oversee documentation tools and automate checks for code examples, API references, links, and content quality.

• Collaborate with engineering and product teams to document new features in conjunction with releases.

• Ensure existing guidance is aligned with product updates.

• Enhance documentation structure, navigation, and search functionality.

• Utilize community questions, support feedback, and documentation usage analytics to identify gaps and prioritize improvements.

• Represent LanceDB among open-source contributors, review documentation updates, and establish contribution guidelines.

⛳️ Requirements

• Over 8 years of experience in documentation engineering, developer-focused technical writing, software engineering, or a similar field.

• A strong portfolio demonstrating a successful track record in technical documentation, clearly explaining complex concepts and aiding developers in completing real tasks.

• Experience in designing documentation for AI agent consumption.

• Proficiency with AI tools, including coding assistants and LLM-based workflows, with sound judgment in validating outputs.

• Strong skills in Python, including the ability to write, execute, and debug examples using APIs and SDKs.

• Knowledge of databases, SQL, and data workflows.

• Eagerness to learn about vector search and multimodal AI infrastructure.

• Familiarity with Git, pull requests, Markdown, and documentation workflows that integrate with software development.

• Capability to learn a product by examining code, experimenting with APIs, and working alongside engineers.

• Excellent editorial judgment and attention to technical accuracy.

• Ability to prioritize tasks and work independently.

• Nice to have: experience in documenting databases, data infrastructure, or AI and machine learning tools.

• Nice to have: familiarity with LanceDB, Lance, Apache Arrow, or related technologies.

• Nice to have: experience with TypeScript or Rust and documenting APIs across various programming languages.

• Nice to have: experience with documentation platforms, generated API references, and CI-based testing of code examples.

• Nice to have: experience in building agent workflows, documenting tool interfaces, or evaluating agents against developer tasks.

• Nice to have: contributions to open-source projects or experience in supporting a developer community.

• Must be legally authorized to work in the United States for any employer.

• Residing in the United States or Canada.

🏝️ Benefits

• Equity grants.

• 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.