Documentation Engineer (AI-augmented Docs)

TL;DR

Documentation Engineer (AI-augmented Docs): Own documentation as a system by building docs-as-code pipelines, AI-augmented drafting workflows, and the release/publish process with an accent on tooling, validation, and making content reliably consumable by AI agents. Focus on structuring and transforming documentation for agent consumption (chunking, indexing, reasoning) and keeping reference docs in lockstep with platform changes.

Location: Basel, Basel City, Switzerland (Remote)

Company

Builds Tetra OS, an operating system for scientific intelligence that turns fragmented scientific data into AI-native assets and workflows.

What you will do

• Own the documentation site and publishing as software: docs-as-code repo, CI/CD publishing pipelines, build performance, and automated link/structure/quality checks.
• Build and evolve AI-augmented documentation workflows for drafting, summarization, classification, consistency/staleness checks, and a feedback loop with human oversight.
• Develop the docs-as-AI-agents capability by structuring content for reliable AI consumption and maintaining MCP-style interfaces for agents/assistants.
• Generate and maintain reference documentation from source (OpenAPI and related specs) and keep docs synchronized with platform-as-code changes.
• Lower the barrier for internal contributors to ship their own docs via the docs-as-code workflow and reduce repetitive work through automation.
• Own release notes and customer-communications cadence, run SME review for accuracy/on-time delivery, and 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.
• Strong engineering ability in a scripting or web stack (e.g., Python, TypeScript, JavaScript) and real fluency with docs-as-code: Git, PR review, CI/CD, and static-site/CMS publishing pipelines.
• Hands-on experience building AI-augmented or LLM-backed workflows (LLM API integration, AI-assisted authoring, and structuring content for AI consumption).
• Ability to read and reason about a real codebase and API surface to document accurately and build tooling against it.
• Strong editorial judgment to translate dense engineering changes into clear, correct, customer-safe documentation.
• Bachelor’s or Master’s degree in a technical field, or equivalent practical experience.

Nice to have

• Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers).
• Experience in BioPharma/scientific software or 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.

Culture & Benefits

• Competitive salary and equity in a fast-growing company.
• Supportive, team-oriented culture focused on continuous improvement.
• Generous paid time off (PTO).
• Flexible working arrangements with remote work.

Hiring process

• Review “The Tetra Way” authored by the CEO as part of the candidacy process.
• Proceed through interviews to evaluate fit for mission, culture, and expectations.