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Описание вакансии
Текст:
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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