AI Tech Lead (Context & Harness), CTO Office, Tokyo

Overview

Money Forward is expanding AI agents across its products and internal workflows. Reliable agents need relevant context, controlled tool access, and repeatable evaluation.

Within the CTO Office, the Context & Harness Committee develops and validates shared standards for context engineering—the information agents receive—and harness engineering—the execution controls, tool integrations, and evaluations supporting safe, reliable operation.

We are seeking a hands-on AI Tech Lead to lead assigned workstreams, build and test solutions with pilot teams, and turn proven approaches into reusable components and standards for wider adoption.

Responsibilities and Duties

You will combine hands-on engineering with cross-team technical influence, owning the implementation, evaluation, and documentation of your assigned workstream.

Working with committee leadership, pilot teams, and platform and security specialists, you will:

• Lead technical design and delivery for assigned context-engineering or harness-engineering workstreams, clarifying requirements and architecture tradeoffs.
• Review context formats, ontology models, harness designs, and integration approaches.
• Support pilot teams across Money Forward Business Company divisions with context conversion, test fixtures, and evaluation.
• Define how GitHub, Notion, Slack, and other sources supply agent context, including routing and token-budget allocation.
• Build a focused ontology proof of concept using YAML-based schemas.
• Validate agent-platform integrations, including access controls and smoke tests, and demonstrate repeatable evaluation and quality gates.
• Turn pilot evidence into reusable components, playbooks, and recommendations for company-wide standards and adoption.

Expected Mindset

We value rapid hypothesis testing, continuous learning, and technical decisions grounded in product value. You should share findings openly, collaborate constructively, and balance experimentation with reliability, security, compliance, and cost.

Required Skills and Experience

Candidates should demonstrate depth in either context engineering or harness engineering, with working knowledge of the other. The areas below describe the skills relevant to each specialization; candidates are not expected to have equal depth across both.

• Context engineering skills
• RAG and retrieval pipelines: Experience designing advanced search and retrieval systems that provide models with accurate, relevant, and timely information.
• Context-window and token management: Experience compressing conversation history, prioritizing useful context, and filtering noise to optimize model attention and cost.
• Memory architecture: Experience building short-term and persistent memory systems that allow agents to retain state across tasks and interactions.
• Instruction curation: Experience structuring plain-English operating rules, Markdown files, domain guides, and other instructions for dynamic injection into agent tasks.
• Context formats and knowledge modeling: Experience designing context layers and reusable knowledge assets using Markdown, YAML, schemas, and related formats.
• Harness engineering skills
• Tool and MCP integration: Experience connecting models to external APIs, execution environments, tools, and Model Context Protocol (MCP) servers.
• Sandboxing and permissions: Experience defining safety boundaries, access controls, approval flows, and secure execution environments for agent actions.
• Validation and guardrails: Experience implementing linters, automated tests, evaluations, and verification layers that detect hallucinations, policy violations, or broken code.
• Orchestration and control loops: Experience designing multi-step workflows, retry logic, state transitions, and error-correction loops for long-horizon tasks.
• Evaluation harnesses: Experience building fixtures, benchmark tasks, quality gates, and CI-integrated evaluations using DeepEval, Promptfoo, or comparable frameworks.

Preferred Skills and Experience

• Supporting technical and leadership skills
• LLM and agent fundamentals: Strong understanding of agent workflows, RAG, evaluation methods, and quality gates for AI-generated output.
• Software engineering: Strong Git/GitHub and CI practices, experience with repo-native tooling, and the ability to prototype quickly.
• Technical leadership: Ability to make pragmatic architecture decisions, lead POCs, and turn evidence into reusable standards.
• Communication: Ability to write clear technical proposals and provide constructive cross-team review and feedback.
• Experience with ontology or knowledge modeling using YAML-based schemas.
• Familiarity with internal or external agent platforms.
• Experience with hybrid search, indexing pipelines, or context freshness mechanisms.
• Experience in AI development and/or experience in using AI tools to improve development processes.

Money Forward is at a major turning point, shifting "from Cloud to AI." We are currently driving "AX (AI Transformation)"—the next step beyond DX—with the goal of providing "Digital Workers," where AI agents autonomously execute tasks. As we enter a phase of evolving into Japan's No. 1 back-office AI company by integrating AI agents into all of our products in the future, we are looking for individuals who can contribute to AI-driven development and value creation.

(More information here)

Language Requirements

• English: Business Level (Fluent, capable of handling communication with clients in English)

(Note: If you have other qualifications or experiences demonstrating English proficiency, such as EIKEN Pre-1, EIKEN 2nd Grade (CSE score 1950+), TOEFL iBT 60+, IELTS 5.0+, or Cambridge FCE.), feel free to discuss with us)

For those without a TOEIC 700+ equivalent score, they will be asked to take a designated test during the interview process (generally after the first interview)

• Japanese: N3 Level (Able to communicate internally using translation tools for text and conversation)

Who We’re Looking For

• A hands-on technical leader who enjoys turning ambiguous problems into working, testable solutions.
• Someone who can work across teams without relying solely on formal authority.
• Someone who can distinguish a successful demonstration from a reliable, reusable engineering solution.
• Someone who documents tradeoffs and limitations clearly and helps other teams adopt what works.

Tools Used

• Repository management: GitHub
• CI and evaluation automation: GitHub Actions
• Collaboration and documentation: Slack, Notion
• Agent and evaluation tooling: selected according to workstream and pilot requirements

Work Environment

At Money Forward, we provide an environment where we can create world-class services together, and we are looking forward to welcoming you.

• Provided PC Specs: We provide PCs equipped with the latest CPUs (MacOS or Windows). Custom-made PCs tailored to business requirements and replacements with the latest OS are also possible.
• Systems to Enhance the Development Environment: Peripheral devices necessary for work (such as displays, mice, keyboards) can be purchased as office supplies. Generally, you can choose from standard products (catalog), and if conditions are met, you can apply for non-standard products as well. (*Excluding certain group companies)
• Money Forward Library: We have a library system where you can freely borrow books, ranging from technical books to management books. Desired books can be purchased at the company's expense.
• Referral Driven: We cover the cost of recruitment meals. There is a referral reward system.
• Conference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.

職種 / 募集ポジション

AI Tech Lead (Context & Harness), CTO Office, Tokyo

雇用形態

正社員

給与

年収 7,908,000円 〜 15,000,000円

Monthly salary system

勤務地

108-0023 21F Tamachi Station Tower S, msb Tamachi, 3-1-21 Shibaura, Minato-ku, Tokyo

Salary System

Salary Range

Min 659,000 JPY / month（7,908,000 JPY / year）〜1,250,000 JPY / month（15,000,000 JPY / year）

Each including fixed allowances of 191,860 JPY〜363,912 JPY / month.

Bonus

A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary.

Probation Period

3 months from join date

Working Hour System

Discretionary Labor System for Professional Work

Working Hours

9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion.

Work Style Policy

Hybrid work style

• As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances)
• The specific "team office days" may vary depending on the assigned team.

Holidays/Vacations

• Saturdays / Sundays / Japanese national holidays
• Paid holidays
• Summer holidays (3 days)
• Winter holidays (2 days)
• Year-end and New Year’s holidays (Dec 31st～Jan 3rd)

Benefits

• Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance)
• Neighborhood housing allowance and neighborhood moving allowance
• Salary-based rent deduction benefit
• Health check and gynecological checkup
• Influenza vaccine
• Book purchases support
• Defined-contribution corporate pension
• Employee stock ownership plan

Preferential treatment when using the following services（limited to businesses under contract with Money Forward）

• Rental agency
• Housekeeping services
• Babysitting
• Online English conversation school

Selection Process１

Casual interview/Document Screening

First interview (Depending on the position, there may be a technical assignment before the interview.)

Several interviews (The number of interviews depends on the position. We will request you to take an aptitude assessment.)

Final interview (We may ask for a reference check before or after the interview.)

Job offer/Offer meeting

Selection Process２

About the Aptitude Test

It is a simple web-based survey taking around 20 minutes to complete.

What are reference checks?

Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company.

Notes

• Range of change in job description: Work as determined by the company
• Range of change in work location: Work location as determined by the company

Reference Information

recruit.moneyforward.com/#introduction

会社情報

会社名

株式会社マネーフォワード

代表者

代表取締役社長グループCEO 辻 庸介

創業

2012年5月

取締役

金坂 直哉

中出 匠哉

竹田 正信

石原 千亜希

社外取締役

安武 弘晃

宮澤 弦

Ryu Kawano Suliawan

菊間 千乃

芦田 健

上田 梨々子

監査役

畠山 優実

田中 克幸

西山 茂

グループCxO・VPox

上利 陽太郎

瀧 俊雄

山田 一也

坂 裕和

松岡 俊

伊藤 セルジオ 大輔

関田 雅和

松久 正幸

野村 一仁

長尾 祐美子

金井 恵子

梅田 康吉

丸山 嘉伸

執行役員

田平 公伸

本川 大輔

冨山 直道

永井 博

駒口 哲也

廣原 亜樹

島村 誠一郎

永井 七奈

木村 慎治

吉本 憲文

工藤 裕之

島内 広史

小山 幸宏

渡辺 恵伍

松村 道夫

岩崎 大

渋谷 亮

オフィス

本社オフィス

〒108-0023 東京都港区芝浦3-1-21 msb Tamachi 田町ステーションタワーS 21F

北海道支社

〒[phone removed] 北海道札幌市中央区南一条西4-5-1 札幌大手町ビル3階

東北支社

〒980-0021 宮城県仙台市青葉区中央2-2-10 仙都会館 5F

東海支社、名古屋開発拠点

〒450-6213 愛知県名古屋市中村区名駅4-7-1 ミッドランドスクエア 13F

京都支社、京都開発拠点

〒604-8004 京都府京都市中京区三条通河原町東入中島町78番地 明治屋京都ビル 4階

関西支社、大阪開発拠点

〒541-0042 大阪府大阪市中央区今橋 2-5-8 トレードピア淀屋橋 9階

広島支社

〒730-0015 広島市中区橋本町9-7 ビル博丈5F

九州・沖縄支社、福岡開発拠点

〒810-0041 福岡県福岡市中央区大名2丁目6-50 福岡大名ガーデンシティ 16F

社内コミュニケーション活性化の取り組み

• 全社週次/月次朝会/半期総会
• 代表との意見交換会（CEOセッション）
• 全社懇親会（MF Happy Hour）
• 他部門社員との交流会（シャッフルランチ・ディナー）
• 上長との定期1on1（ツキイチ面談）
• 社内公募制度（MFチャレンジシステム）
• 社員満足度調査（MFグループサーベイ）

労働条件

屋内原則禁煙（喫煙室あり）等

中途採用比率

2021年11月末 93.8％

2022年11月末 90.0%

2023年11月末 76.6％

2024年11月末 88.7%