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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

Senior AI Engineer - LLM Adoption Department (LLMAD)

Japan Rakuten Estimated salary: Approximately ¥8,000,000–¥15,000,000 per year, depending on experience, skills, and final offer
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

Rakuten is seeking a Senior AI Engineer to help drive adoption of large language models across its businesses. The role typically requires strong experience in machine learning, natural language processing, generative AI, and software engineering, together with practical knowledge of LLM frameworks, model evaluation, prompt engineering, APIs, and cloud platforms. Candidates should be able to design and deploy reliable AI solutions, improve existing systems, work with large datasets, and communicate effectively with product managers and engineers. The successful candidate is expected to lead technical initiatives, identify valuable LLM use cases, promote responsible AI practices, and support teams adopting these technologies in production.

About the employer

Rakuten Group, Inc. is a major Japanese technology and internet company headquartered in Tokyo. Founded in 1997, it operates a broad ecosystem covering e-commerce, fintech, mobile communications, digital content, travel, advertising, and online services. Rakuten is known for connecting these businesses through its membership and loyalty platform, allowing customers to earn and use Rakuten Points across multiple products. The company has a substantial international presence and employs people from many nationalities, particularly in technology and data-focused roles. Its engineering teams work on large-scale platforms, cloud systems, artificial intelligence, cybersecurity, and mobile networks. Rakuten promotes innovation, collaboration, and the use of technology to improve customer experiences. Working there can provide exposure to complex, high-volume products and opportunities to influence digital transformation across several industries.

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