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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в AI-продукте даёт практический опыт с LLM и современными docs-as-code процессами, но без зарплаты сложно оценить общее предложение.
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Зарплата не указанаAI-продуктСовременные процессыПонятная рольОфис в Париже
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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