Localization Engineer
Build and lead technical localization initiatives while developing a full-stack AI translation platform, integrating LLM workflows, and improving pipeline quality and automation. Requires a bachelor's degree or equivalent, 5+ years of software development experience, and conversational English and Japanese.
About the job
Responsibilities
- Innovate localization strategy and lead complex technical projects across their entire lifecycle to continuously optimize processes.
- Design, build, and maintain a full-stack AI translation platform, including scalable web applications, backend services, and data pipelines.
- Integrate LLMs into core workflows to drive process automation, enhance content reuse, and support intelligent quality assurance.
- Establish comprehensive QA frameworks and provide ongoing technical support to ensure the robustness, reliability, and observability of localization pipelines.
- Manage vendor relationships, oversee budget planning, and ensure high translation quality standards.
- Build solution-based approaches to deliver high-quality localization.
Required Qualifications
- 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 one or more of: Python, Java, JavaScript, C++, or Go.
- Experience designing and architecting scalable, high-availability web applications and backend services.
- Familiarity with AI-assisted coding workflows, such as Cursor and Claude Code.
- Strong interpersonal and communication skills, with project management experience driving complex cross-functional technical initiatives.
- Conversational proficiency in English and Japanese for daily cross-functional communication.
Nice to Have
- Experience building LLM workflows, prompt/context engineering, or multi-agent frameworks.
- Experience with LLM-based translation.
- Strong understanding of SQL and relational databases, including experience building efficient data-processing pipelines.
- Familiarity with localization standards such as XLIFF, Translation Management Systems (TMS), or automated linguistic quality assurance (LQA) processes.
- Experience engaging directly with end users to gather feedback and iterate on product features.
Skills
Python, Java, JavaScript, C++, Go, LLMs, Prompt Engineering, Multi-Agent Frameworks, SQL, Relational Databases, Xliff, Translation Management Systems, Lqa, Cursor, Claude Code
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