Senior / Staff Documentation Engineer – AI & Docs Tooling

🕒 June 24

🍂 Massachusetts – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Logo of TetraScience

TetraScience

51 - 200 employees

Founded 2015

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.

📋 Description

• Own documentation as a system: the pipelines that build and publish it, AI-augmented workflows for drafts, review and publish process, and infrastructure for AI agents. • Take existing docs-as-code foundation and grow it into a docs-as-AI-agents capability. • Own the documentation site and its publishing as software: docs-as-code repo, CI/CD pipelines, automated link, structure, and quality checks. • Grow AI-augmented documentation workflows: AI-assisted drafting, summarization, consistency checks, and feedback loop improvements. • Structure content for AI systems consumption and maintain interfaces for agents. • Generate reference documentation from source and keep it aligned with code changes. • Lower barrier for internal contributors to ship their own docs through automation. • Own release-notes and customer communications cadence. • Maintain the documentation style guide and team runbook.

🎯 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. • 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.

🏖️ Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members • Unlimited paid time off (PTO) • 401K • Flexible working arrangements - Remote work • Company paid Life Insurance, LTD/STD • A culture of continuous improvement where you can grow your career and get coaching

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