Develop tools for consumer game production, including launchers, data-entry utilities, Unreal Engine editor extensions, converters and checkers, while supporting middleware and OSS adoption.
About this role
The AI engineer will design, develop and introduce AI systems that support the development and operation of game content. The work uses large language models, natural language processing, machine learning technologies and large volumes of data from operational games.
Responsibilities cover the full project process, including model selection, prompt design, user experience optimization and evaluation of system performance. The role also involves monitoring current trends related to LLMs and related services, and sharing relevant knowledge with the team and within the company as needed.
Required qualifications include a basic understanding of natural language processing, machine learning and LLMs; experience addressing problems with natural language processing technologies including LLMs, with proof-of-concept experience accepted; programming and development experience in Python, R or another programming language; and communication and teamwork skills.
Preferred experience includes evaluating and improving LLM performance through training or fine-tuning, improving generative accuracy through prompt engineering methods such as RAG and ReAct, and developing conversational AI systems such as chatbots. A bachelor's degree or higher in a related field, or equivalent professional experience, is also welcomed. Experience with cloud services such as AWS, GCP or Azure, understanding of database technologies such as SQL, and understanding of AI ethics are additional preferred qualifications.
The posting also describes curiosity about new technologies, a strong interest in problem solving and creative thinking, cooperative work in cross-functional teams, and the ability to learn independently and continuously update knowledge.
The engagement is listed as freelance work under an outsourcing arrangement. The monthly compensation range is 250,000 to 900,000 yen. Work location, working hours and compensation details are to be discussed during interviews. The listed work locations are offices in Shibuya and Meguro, Tokyo. Support programs include training, learning activities, communication events, health support, lunch assistance and other benefits described by the company.
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