Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
As an IAM Engineer, you will design and implement Money Forward's ID platform and provide technical leadership to engineering teams.
Lead the development of AI agents using LLMs, focusing on architecture design and implementation to maximize client business value.
Responsible for implementing AI and machine learning solutions, including data design and pipeline construction.
Lead the development of AI-driven applications and establish a foundation for AI-driven development processes.
Manage the data management team, focusing on organizational development and strategic planning while ensuring technical decision-making in data engineering.
As an IAM engineer, you will design and implement the ID infrastructure and next-generation multi-tenant management systems for Money Forward.
Design and develop services using microservices and REST APIs, with experience in DDD and Clean Architecture.
Utilize data to solve social issues in the labor market and contribute to revitalizing Japan.
Develop and maintain full-stack applications, collaborating with cross-functional teams to deliver high-quality software solutions.
Design, operate, and improve the GCP data infrastructure, ensuring stability and performance optimization.
Lead the architecture design and technology strategy across JAPAN AI's product portfolio, maximizing product success from technical and business perspectives.
Collaborate with business units to create services, from planning to implementation and analysis.
Design and develop enterprise-level systems using AI-driven development processes, focusing on quality and security requirements.
The Machine Learning Engineer will be responsible for engineering tasks related to bid optimization logic, including data analysis and A/B testing.
Build features that change how people in Japan use and manage their finances and business.
Lead the architecture design and technical strategy for JAPAN AI's product lineup, maximizing the success rate of AI products.
Collaborate with business divisions to create services, from planning to implementation and effect measurement.
Lead data scientist for the Generative AI Lab, focusing on model evaluation and business application of AI technologies.
Lead cross-functional projects involving various stakeholders, from requirements gathering to operational setup.
Lead the development and modernization of financial digital products, focusing on core banking systems and FinTech services.
Develop and solve technical challenges for the backend of the spot work system supporting user matching and labor management.
Responsible for supporting and securing infrastructure for a rapidly growing product, leading from AWS setup to security strategy.
