Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.
About this role
This internship develops and improves internal tools that use large language models (LLMs) for product applications and internal productivity. Development work is assigned through tickets and focuses on quickly testing and implementing practical uses of new technology.
The main responsibilities are to explore ways to use LLMs to improve productivity within the company, create prototypes, and build LLM applications that make specific tasks more efficient for other teams.
The role is set in the context of Ubie’s healthcare products, including the consumer symptom-search engine Ubie and the medical-institution product Ubie Medical Navi. The posting states that an LLM-based feature has been added to the medical product to summarize medical interviews and is used by more than several hundred medical institutions. Internal uses of generative AI include supporting data analysis and programming work.
The internal generative AI services use Next.js, TypeScript, AlloyDB for PostgreSQL, LangChain, LangGraph, Go, and Python. The position therefore involves developing LLM applications and internal productivity tools with this stated technology stack.
The listed work location is 5F, Nihonbashi Life Science Building 4, 3-8-4 Nihonbashi-Honcho, Chuo-ku, Tokyo. The location may be changed to a place designated by the company, and the duties may be reassigned to any work assigned by the company.
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