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Senior / Staff Documentation Engineer

Own documentation systems and AI-augmented workflows for a scientific data and AI platform. Build and maintain docs-as-code pipelines, LLM-backed authoring tools, and content optimized for AI agent consumption.

Boston, MATechnical WritingRemote5+ YOE

About the role

Responsibilities

  • Own the documentation site and its publishing as software: the docs-as-code repo, the CI/CD publishing pipelines, build performance, and automated link, structure, and quality checks.
  • Build and grow AI-augmented documentation workflows: AI-assisted drafting, summarization, classification, consistency and staleness checks, and a feedback loop that improves generation quality over time, all with human oversight.
  • Build docs-as-AI-agents position: structure and transform content so AI systems can reliably chunk, index, and reason over it, and stand up and maintain MCP-style interfaces so agents and assistants consume our docs accurately.
  • Generate reference documentation from source (OpenAPI and related specs) and keep docs in lockstep with the platform as code changes.
  • Lower the barrier for internal contributors (PMs, squad leads, engineers) to ship their own docs through the docs-as-code workflow, and reduce repetitive work through automation.
  • Own the release-notes and customer-communications cadence that goes out with every platform release, and run the SME review that keeps it accurate and on time.
  • Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current so the function is not dependent on any one person.

Requirements

  • 5+ years owning documentation tooling, content engineering, or developer documentation for a developer-platform or enterprise B2B product.
  • Engineering ability in a scripting or web stack (for example Python, TypeScript, or JavaScript) and real fluency with docs-as-code: Git, pull-request review, CI/CD, and a static-site or CMS publishing pipeline.
  • Hands-on experience building AI-augmented or LLM-backed workflows: integrating LLM APIs, AI-assisted authoring, and structuring content for AI consumption.
  • Ability to read and reason about a real codebase and API surface well enough to document it accurately and to build tooling against it.
  • Strong editorial judgment: you can take a dense engineering change and make it clear, correct, and customer-safe.
  • Bachelors or Masters degree in a technical field, or equivalent practical experience.

Nice-to-Haves

  • Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers).
  • Experience in BioPharma or scientific software, or in regulated and validated (GxP) environments.
  • Experience generating reference docs from OpenAPI or related specifications with two-way Git sync.
  • Developer-relations or developer-education exposure.

Skills

PythonTypeScriptJavaScriptGitCI/CDDocs-As-CodeLLM APIsRag PipelinesOpenapiStatic Site Generators

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