This post details the process and challenges of internationalizing LinkedIn's Hiring Assistant, an agentic AI product, for French and German markets. It highlights the difficulties of on-the-fly text generation compared to traditional software localization, focusing on linguistic nuances like gender agreement, formal/informal address, noun capitalization, and number/date formats. The solution involves a shared rubric framework to capture language-specific rules, per-language Low-rank Adaptation (LoRA) adapters, and an adaptive model strategy to reduce serving costs while maintaining native quality. The system now supports French and German, with a roadmap for more languages.
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