AI Development Lead Candidate

This role leads the development of an AI-native work environment for an organization of more than 2,000 employees. The work includes redefining employee workflows around AI and implementing those workflows, selecting technologies and designing architecture for solutions such as large language models, and introducing them internally.

The role also covers development of a company-wide retrieval-augmented generation system, semantic-layer design, data-pipeline improvement, and the establishment of LLM operations that can continuously improve accuracy and support safe operation. Experience with AI agents, MCP, plugins, and related systems may also be used in the design and implementation of the environment. For a manager-track candidate, responsibilities include formulating AI strategy, building a team, and managing projects. The assigned work may change according to business conditions and the candidate’s suitability.

The team is working to make the company’s operations AI-native. Its current initiatives include building cross-company RAG, introducing an AI-agent platform that can perform tasks autonomously, and reorganizing data pipelines and rules to maximize AI accuracy. The role supports the internal development of an organization that provides integrated cloud software for accounting, human resources and labor management, sales management, tax filing, signing, and other small-business back-office functions.

Required qualifications include at least three years of end-to-end development experience covering requirements definition, technology selection, development, and operations and maintenance. At least one year of practical experience designing data models and analyzing data is required, as is at least one year of experience building infrastructure or services using AWS or Google Cloud. Experience developing with coding agents and generative AI is also required.

Preferred experience includes leading or managing an engineering team; using or operating AI workflow automation tools such as n8n; building RAG systems; designing or implementing AI agents, MCP, or plugins; using large-scale data platforms such as BigQuery; and building infrastructure with infrastructure-as-code tools such as Terraform. The posting also seeks people who can think independently about questions without established answers, communicate smoothly with diverse stakeholders based on logical thinking, and maximize team results as well as individual technical performance.

The position is a permanent full-time role in Tokyo at the Shinagawa office. It uses a specialist discretionary work system with a deemed eight-hour workday, and six days per year are provided as paid leave. The probationary period is three months. Employment insurance, workers’ accident compensation insurance, employees’ pension insurance, and health insurance are provided. Smoking is prohibited indoors. The workplace may change because of business conditions or an office relocation. Online interviews are available.