Senior / Staff Documentation Engineer – AI & Docs Tooling

🕒 Junho 24

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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TetraScience

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2015

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A TetraScience é uma empresa dedicada a transformar dados científicos brutos em conjuntos de dados nativos de IA para aplicações científicas avançadas. Ao colaborar estreitamente com as principais empresas biofarmacêuticas, a TetraScience aumenta a produtividade, acelera insights e garante a integridade dos dados em toda a cadeia de valor científica. Sua plataforma oferece soluções para gerenciamento de dados de laboratório de próxima geração, resultados científicos impulsionados por IA e conformidade com os padrões da indústria. Como a primeira empresa a fornecer um cloud de dados e IA construído especificamente para a ciência, a TetraScience permite que seus clientes liberem, unifiquem e transformem seus dados, superando silos de dados tradicionais e impulsionando a produtividade científica ao oferecer uma infraestrutura flexível, aberta e colaborativa.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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