Назад
4 дня назад

Localisation Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Japan
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
Localisation Engineer (AI) (AI translation platform): Building and maintaining a full-stack AI translation platform with scalable web applications, backend services, and data pipelines with an accent on LLM integration, localization automation, and quality assurance. Focus on architecting high-availability systems, engineering intelligent translation workflows, and ensuring the observability and reliability of localization pipelines.

Location: Tokyo, Japan

Company

Snowflake is scaling its global localization and product translation capabilities while developing AI-native ways of working.

What you will do

  • Develop localization strategy and lead complex technical projects throughout their lifecycle.
  • Design, build, and maintain a full-stack AI translation platform, including web applications, backend services, and data pipelines.
  • Integrate LLMs into localization workflows to automate processes, improve content reuse, and support intelligent quality assurance.
  • Establish QA frameworks and provide technical support for reliable, observable localization pipelines.
  • Manage vendor relationships, budget planning, and translation quality standards.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
  • Strong computer science fundamentals, including algorithms and data structures.
  • 5+ years of software development experience with Python, Java, JavaScript, C++, or Go.
  • Experience designing scalable, high-availability web applications and backend services.
  • Familiarity with AI-assisted coding workflows such as Cursor or Claude Code.
  • Conversational English and Japanese required for daily cross-functional communication.

Nice to have

  • Experience building LLM workflows, prompt and context engineering, or multi-agent frameworks.
  • Experience with LLM-based translation.
  • Knowledge of SQL, relational databases, and efficient data processing pipelines.
  • Familiarity with XLIFF, Translation Management Systems, or automated localization quality assurance.
  • Experience gathering end-user feedback and iterating on product features.

Culture & Benefits

  • AI is treated as a high-trust collaborator in everyday work.
  • Work in a dynamic, fast-moving environment with an experimental mindset.
  • Collaborate across functions to test emerging capabilities and improve delivery.
  • Build solutions that support global localization and product translation.

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