Money Forward

AI Solution Engineer

Salary

900万 - 1500万

Location

Tokyo

Remote

On-site / hybrid

Visa

Sponsorship available

Language

Japanese: Not Required / English: Business Level

Posted

Feb 24, 2026

Python

React

Typescript

Docker

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Overview

Why we are hiring

Money Forward aims to realize next-generation back-office services, centered on promoting the "AI Agent" and "AI Agent Platform" as outlined in the "Money Forward AI Vision 2025."

At Money Forward Consulting, we provide products such as "Manageboard" that support corporate growth and governance. Currently, we are in a phase of moving beyond simple operational efficiency to seriously address "advancing management decision-making using AI."

Specifically, we aim for "autonomous data utilization and decision support by AI agents" in the management control domain, and "automation of issue organizing and risk assessment" in the governance domain. We are seeking an AI Solution Engineer who understands both business and technology and can lead implementation to build solutions that transform the decision-making process for executives by combining our proprietary management data infrastructure with the latest AI technology.

Responsibilities

You will be responsible for designing and developing AI-powered new features and solutions in the management control and corporate governance domains.
Design and Development of AI Management Control:
Design and implementation of algorithms and applications (such as building RAG) that automate "organizing discussion points for each agenda," "presenting options," and "risk assessment" in board meetings and management meetings.
Building logic for AI to provide advanced insights by integrating internal KPIs, HR information, and external market data.
Building AI Agents:
Development of functions where AI agents autonomously refer to and analyze financial data (PL/BS, etc.) and non-financial data to support the decision-making of users (executives and practitioners).
Creating environments and implementing data infrastructure integration so that AI can directly refer to and utilize data.
Technical Realization of Business Requirements:
Proposing solutions using AI technology for high-level, abstract business challenges faced by executives and business heads (e.g., "wanting to speed up management decisions," "wanting to strengthen governance") and leading from prototyping to product implementation.
Selection and Verification of Tech Stack:
Verifying and selecting Generative AI technologies such as LLMs and machine learning models, and incorporating them into products (Example tech stack: Kotlin, Python, AWS/GCP, BigQuery, etc.).
Opportunities
Contribution to Enterprise Growth
Opportunity to engage in AI products that significantly impact Money Forward’s business.
As Money Forward further strengthens data utilization through AI, the AI Product Development Division plays a crucial role. You will be involved in various projects that can have a major impact on the company's business. You can also work on new businesses and services centered on data and AI.
Environment for Growth with the Latest Technology
Solving users’ essential challenges using AI.
You can be involved in everything from hearing about product issues and desired outcomes to considering, implementing, and operating solutions using AI agents. Through building AI mechanisms that utilize critical user data related to finance and treasury, you can deliver value that exceeds expectations and imagination.
Environment with Freedom and Discretion
Working with discretion and reflecting your ideas in the product.
As a high-performing, small-scale development team, you can work on in-house product development with significant discretion. The environment encourages engineers to propose ideas freely, allowing you to see your own ideas reflected in the products. Since the products are used by many users, you can directly feel the impact of your AI implementation.
Growth Opportunities to Expand Career Options
Develop deep technical expertise through experience in a wide range of internal business improvement projects.
Acquire business skills for driving new projects.
Experience global development within a team composed of members from diverse countries and locations.
Expectations
While leading the development of AI agents in the management control domain, you are expected to lead the team and contribute directly to improving clients' operational efficiency and business growth.

Required Skills

Experience in the practical application of AI (from problem definition to AI solution selection, model consideration/development, and application to services).
Experience and understanding of software development.
Experience in leading or managing small-scale projects.
Experience using cloud platforms such as AWS, GCP, or Azure.
In addition to the above, experience in at least one of the following:
AI agent development experience.
Web service development experience utilizing AI services.
Experience in analysis and proposals based on an understanding of the business.

Preferred Skills

Deep understanding and experience in corporate back-office operations such as accounting, finance, and HR.
Deep understanding of software development in teams.
Practical experience with LLMOps.
AI development experience or development experience using AI tools
Language Requirements
English
Fluent or Business level
Japanese
Business or Conversational level are plus
Tech Stack
AI: Various AI/ML libraries, various LLM APIs, various AI Agent Services
Infrastructure: AWS, GCP, Azure
Server-side: Python, Ruby, Kotlin, TypeScript
Frontend: React, TypeScript
Tools
Repository Management: GitHub
CI/CD: CircleCI, GitHub Actions
Environment: Docker, Terraform Enterprise
Monitoring: Datadog, Sentry
Communication: Slack, Zoom
Ticket Management: Jira, Asana
Environment
Money Forward provides an environment where we create world-class services together.
PC Specs: The latest CPU-equipped PC (macOS or Windows) is provided. Custom orders based on business requirements and replacements with the latest OS are also possible.
Systems for Improving Development Environment: Peripheral devices required for work (displays, mice, keyboards, etc.) can be purchased as company equipment. Generally, items are selected from a standard catalog, but applications for non-standard items are possible if they meet certain criteria.
Money Forward Library: There is a library system with free lending of books ranging from technical manuals to management books. Books you want can be purchased at the company's expense.
Referral Driven: Coverage of referral meal expenses. Referral bonus system.
Conference Participation Support: The company partially covers expenses for participating in domestic and international conferences, such as RubyKaigi and Google I/O.