Senior / Staff Documentation Engineer, AI & Docs Tooling

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TetraScience

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

Artificial Intelligence • Biotechnology • SaaS

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, the AI-augmented workflows that generate drafts for human review and refinement, the review and publish process, and the infrastructure. • Lead the growth of existing docs-as-code foundation and AI-assisted documentation workflows into a docs-as-AI-agents capability. • Own documentation site and its publishing as software: docs-as-code repo, CI/CD publishing pipelines, build performance, and automated checks. • Build AI-augmented documentation workflows: drafting, summarization, classification, consistency and staleness checks, and feedback loops that improve generation quality over time. • Generate reference documentation from source (OpenAPI and related specs) and keep docs in sync with platform changes. • Lower the barrier for internal contributors to ship their own docs through the docs-as-code workflow. • Own release-notes and customer communications cadence with every platform release. • Maintain documentation style guide and ensure 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. • 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

• Competitive Salary and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work.