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Technical Content Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Content Engineer (AI): Building and organizing a logic-driven knowledge base and docs-as-code workflows for customers and AI agents with an accent on machine-readable documentation, editorial quality, and AI-assisted content operations. Focus on training the Documentation Agent, designing content for reliable retrieval and citation, automating documentation checks, and measuring answer accuracy and retrieval quality.

Location: Paris, France; hybrid work with 3 days in the office per week.

Company

hirify.global develops a business planning platform with native AI capabilities that help users build models by speaking their intent.

What you will do

  • Write and edit logically structured documentation for customers and AI agents, maintaining a consistent voice and alignment with the style guide.
  • Design knowledge-base layouts and visual aids, optimizing content length, structure, chunking, retrieval, and citation.
  • Develop AI-assisted content workflows for drafting, quality checks, audits, and scalable documentation operations.
  • Partner with Product and Engineering to curate source content, refine instructions and evaluation prompts, review Documentation Agent answers, and address knowledge gaps.
  • Manage Git-based docs-as-code workflows with Markdown, pull requests, and automated checks for links, structure, and style.
  • Collaborate with Product, Engineering, Customer Success, and Professional Services to document releases, learn product functionality, create use cases, mentor peers, and improve documentation using analytics, answer accuracy, and retrieval-quality data.

Requirements

  • 3–5 years of experience in technical writing, content strategy, or documentation engineering, preferably in SaaS, EPM, or FinTech.
  • Strong command of authoring, hosting, and collaboration tools including Document360, Jira, Confluence, Git, GitHub, Markdown, and VS Code.
  • Hands-on experience with docs-as-code workflows using Git, pull requests, Markdown, and CI-based checks.
  • Practical experience using LLMs in writing workflows, including prompting, critical review of generated output, and repeatable workflow design.
  • Understanding of machine-readable and human-readable content, including consistent structure, self-contained sections, and clear metadata.
  • Strong editorial judgment and the ability to verify AI-generated content for accuracy and produce content to the required quality standard.
  • Ability to independently learn complex product functionality and translate it into concise instructions for technical and non-technical audiences.
  • Excellent verbal and written communication skills, a can-do approach to complex technical puzzles, experience using data to measure documentation effectiveness, and the ability to collaborate across time zones and departments.
  • Professional fluency in English is required.

Nice to have

  • Proficiency in French.
  • Scripting ability in Python or JavaScript for automation.
  • Familiarity with RAG concepts, llms.txt, or MCP.
  • Experience evaluating or improving AI assistant or agent output.
  • Experience with OpenAPI or generating reference documentation from source.

Culture & Benefits

  • Hybrid remote policy with trust and flexible working hours.
  • Health insurance with Alan Blue for employees and their families.
  • Weekly lunch and flexible lunch vouchers through Swile.
  • Egym Wellpass subscription providing access to gyms, studios, and wellness spaces across France.
  • One company offsite each year, offices in major cities, and high-end work equipment subject to availability.
  • Culture focused on teamwork, rigor, action, humility, empathy, customer impact, and continuous learning.

Hiring process

  • Background checks may include employment history, education, and legally permitted criminal-record verification before a formal employment contract, with candidate consent.

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