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【経営企画】AI業界の最前線で事業成長をリード（経営直下）_as

Tokyo

Permanent

Full-time

案件ID:

70890

公開日:

2026-04-02

概要

国内No.1のAI企業を目指す急成長スタートアップ

AIにおける『産業革命』を実現するため、経営企画を牽引

■ 職種

経営企画（リーダー候補）

■ 会社概要

東証グロース市場上場企業のグループ会社

「AIエージェント」をはじめとした高度なプロダクトを開発し、企業の生産性向上を支援

国内トップシェア獲得を目指して急成長中のAIスタートアップ

■ 職務内容

（雇入れ直後）

経営陣と密に連携し、中長期戦略の立案や収益最大化のためのプロセス最適化を推進しています。

経営企画のリーダー候補として、以下の業務をお任せします。

- 経営戦略および事業計画の策定・実行推進

- 経営会議の運営、意思決定サポート

- データに基づいた意思決定基盤の構築全般

- 組織設計、人員計画の策定支援

- 部門を横断した経営課題解決のリード

など

（変更の範囲）

会社の定める業務

■ 応募資格

以下いずれかのご経験（目安：2年以上）

・事業会社における経営戦略や経営企画の実務経験

・戦略コンサルティングファームでの実務経験

■ 歓迎条件

・IT企業やSaaS領域での戦略策定・経営企画のご経験
・IPO準備企業での経営企画のご経験

・上場企業での経営管理・企画実務のご経験

■ アピールポイント

★AI業界の最前線で、「0→1」の組織変革・事業成長をリードできます。

★変化の激しい業界で意思決定と実行を繰り返すことにより、経営視点とAI知見を兼ね備えた人材として市場価値を高めることができます。

★経営層に近い距離で意思決定に関与することができ、企業成長をダイレクトに感じられるポジションです

■ 就業場所

（雇入れ直後）東京都（出社ベース / 状況に応じた在宅勤務の相談可）
（変更の範囲）会社の定める場所

■ 給与

〜 1,500万円程度を想定

※ストックオプション制度あり

※経験・スキルおよび現年収を参考に決定

求人内容の詳細は面談時にお伝えします。

【ホームページからのご応募＝企業への応募確定】ではございませんので、情報収集から始めたいという方もまずはお気軽にご連絡ください。
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Machine Learning Engineer - SR

Permanent

Full-time

案件ID:

70844

公開日:

2026-03-30

概要

Career Opportunity for a Machine Learning Engineer in Japan!

■ Machine Learning Engineer

■ Company Overview

Japan-based AI technology company developing advanced large-scale language models and next-generation AI platforms, focused on delivering innovative AI-driven products and competing with leading global AI players.

■ Your Role and Responsibilities

● Develop and implement systems that leverage large-scale language models (LLM) to deliver user value

● Design and build scalable machine learning systems and AI-driven applications

● Translate early-stage or ambiguous requirements into robust technical solutions

● Improve model performance through experimentation, evaluation, and optimization

● Design and manage development processes to improve team productivity

● Work closely with engineering teams to integrate ML models into production environments

● Contribute to system architecture, model deployment, and continuous improvement

■ Experience and Qualifications

● Practical experience in MLOps implementation

● Design of quantitative evaluation metrics and benchmark construction for model performance

● Practical experience in statistical analysis, numerical processing, visualization, and modeling

● Skills in exploratory analysis, data preprocessing, and hypothesis testing on real-world data

● Contributions to open-source software, publication of papers, and activity in the technical community

■ Additional Preferred Qualifications

● Experience with Large Language Models (LLM) or natural language processing

● Experience implementing MLOps practices such as model deployment and monitoring

● Experience designing evaluation metrics and benchmarking model performance

● Knowledge of statistical analysis, numerical computing, and data visualization

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

更に読む申請する

LLM Inference Engineer (SR)

〒163-6006　東京都新宿区西新宿6-8-1 住友不動産新宿オークタワー6階

Permanent

Full-time

案件ID:

70843

公開日:

2026-03-30

概要

Career Opportunity for a LLM Inference Engineer in Japan!

■ LLM Inference Engineer

■ Company Overview

Japan-based AI technology company developing advanced large-scale language models and next-generation AI platforms, focused on delivering innovative AI-driven products and competing with leading global AI players.

■ Your Role and Responsibilities

● Build systems that translate the value of large-scale language models into real user-facing applications

● Design and manage development processes to improve engineering productivity

● Develop and operate large-scale distributed systems requiring high scalability and high availability

● Build and maintain infrastructure for machine learning model inference and online serving

● Optimize system performance for large-scale AI workloads

● Collaborate with engineering teams to design reliable and scalable AI platforms

● Contribute to continuous improvement of system architecture, monitoring, and operational processes

■ Experience and Qualifications

● 5+ years of experience in software engineering, machine learning infrastructure, or related fields

● Experience developing or operating large-scale distributed systems with high scalability and availability

● Strong system design and problem-solving skills

● Experience building or operating production systems

● Strong commitment to building high-quality and scalable systems

■ Additional Preferred Qualifications

● Experience designing systems running on on-premises or cloud GPU clusters

● Experience building high-availability systems across multiple data centers or regions

● Experience with distributed databases or large-scale search engines

● Experience designing online serving infrastructure for machine learning models

● Knowledge of inference optimization and performance acceleration for ML models

● Experience using LLM inference frameworks such as vLLM, SGLang, or TensorRT-LLM

● Experience designing monitoring and observability systems for distributed infrastructure

● Experience contributing to open-source software, publishing technical papers, or participating in technical communities

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

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Software Engineer (AI Platform / Scalable Systems) (SR)

Tokyo

Permanent

Full-time

案件ID:

70842

公開日:

2026-03-30

概要

Career Opportunity for a Software Engineer in Japan!

■ Software Engineer (AI Platform / Scalable Systems)

■ Company Overview

Japan-based AI technology company developing advanced large-scale language models and next-generation AI platforms, focused on delivering innovative AI-driven products and competing with leading global AI players.

■ Your Role and Responsibilities

● Develop systems that transform the capabilities of a large-scale language model into real user value

● Design, build, and operate highly scalable and high-performance software systems

● Improve development processes and engineering productivity across the team

● Collaborate with cross-functional teams to design reliable and scalable product architectures

● Continuously improve system performance, reliability, and user experience

● Contribute to product design, system architecture, and technical decision-making

■ Experience and Qualifications

● 5+ years of experience in software development and product operations

● Experience building high-performance and highly scalable systems

● Strong problem-solving skills and ability to improve system architecture and development practices

● Experience working in production environments and maintaining reliable services

■ Additional Preferred Qualifications

● Experience with RESTful or gRPC APIs

● Programming in Go, Rust, Java, Scala, Kotlin, C++, or TypeScript

● Database design and optimization (RDB/NoSQL)

● Knowledge of distributed systems, caching, and security (OAuth2/OIDC)

● Technical leadership or open-source contributions

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

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Generative AI Engineer (SR)

〒163-6006　東京都新宿区西新宿6-8-1 住友不動産新宿オークタワー6階

Permanent

Full-time

案件ID:

70841

公開日:

2026-03-30

概要

Career Opportunity for a Generative AI Engineer in Japan!

■ Generative AI Engineer

■ Company Overview

Japan-based technology company focused on developing AI-driven products, advertising technology, and SaaS platforms used by businesses across various industries. It has a global and diverse engineering team and continues to expand its AI research and product development initiatives.

■ Your Role and Responsibilities

● Research and analyze the latest advancements in Generative AI, including LLMs, diffusion models, and multimodal systems

● Design, develop, and implement advanced AI models using frameworks such as PyTorch, TensorFlow, and Hugging Face

● Optimize model performance through fine-tuning, structural modifications, and inference optimization

● Apply research findings to real-world products and integrate AI capabilities into production systems

● Build evaluation frameworks and continuously improve model quality, addressing issues such as hallucination, bias, and output reliability

● Develop APIs and infrastructure to enable product teams to utilize AI models effectively

● Contribute to documentation and knowledge sharing within the engineering team

■ Experience and Qualifications

● Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related field

● Strong knowledge of Generative AI technologies including LLMs, diffusion models, or GANs

● Advanced Python programming skills with experience using frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers

● Strong understanding of deep learning fundamentals including neural networks, transformers, and attention mechanisms

● Experience implementing generative AI models or algorithms based on recent research

● Experience applying research outcomes to real-world applications and improving model performance

● Strong analytical and problem-solving skills for complex AI challenges

■ Additional Preferred Qualifications

● Experience implementing LLM applications such as RAG, embeddings, and vector databases

● Experience with image generation models such as diffusion models or Stable Diffusion

● Experience developing multimodal models combining text, image, or audio data

● Experience training or deploying large-scale models on cloud platforms (GCP, AWS, Azure)

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

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AI Product Manager (AI SaaS Platform)

〒163-6006　東京都新宿区西新宿6-8-1 住友不動産新宿オークタワー6階

Permanent

Full-time

案件ID:

70840

公開日:

2026-03-30

概要

Career Opportunity for an AI Product Manager (AI SaaS Platform) in Japan!

■ AI Product Manager (AI SaaS Platform)

■ Company Overview

Japan-based technology company focused on developing AI-driven products, advertising technology, and SaaS platforms used by businesses across various industries. It has a global and diverse engineering team and continues to expand its AI research and product development initiatives.

■ Your Role and Responsibilities

● Define and execute product strategy aligned with the company’s vision and business goals

● Develop and manage the product roadmap based on market research and competitive analysis

● Prioritize features and product initiatives through data-driven decision making

● Work closely with engineering teams to define product requirements and specifications

● Drive continuous product improvements through user interviews and data analysis

● Lead product releases and oversee the full product lifecycle

● Collaborate with sales and customer success teams to understand customer needs and gather feedback

● Communicate product strategy and progress with management and cross-functional stakeholders

● Coordinate and motivate multinational and cross-functional teams

■ Experience and Qualifications

● 4+ years of experience in product management for software or system development

● Experience leading product strategy from planning through execution

● Experience defining product direction through market research and competitive analysis

● Experience collaborating with development teams to define product requirements

● Strong data-driven decision-making skills

● Experience translating customer needs into product features and system specifications

● Excellent stakeholder communication skills

● Language: Japanese (fluent) or English (business level)

■ Additional Preferred Qualifications

● Experience scaling products after achieving Product-Market Fit (PMF)

● Knowledge of AI, SaaS products, or cloud platforms (AWS, GCP, Azure)

● Understanding of NLP technologies and generative AI models

● Experience working with global or cross-functional teams

■ Good Reasons to Join

● Opportunity to work on advanced AI technologies and large-scale machine learning systems

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

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サイバーセキュリティマネージャー（製薬会社）

Permanent

Full-time

案件ID:

70839

公開日:

2026-03-30

概要

【JD】中外製薬株式会社

サイバーセキュリティマネージャー / Cybersecurity Manager

職務内容募集背景：

中外製薬では、2030年を見据えた「CHUGAI DIGITALVISION 2030」として、「デジタル技術によって中外製薬のビジネスを革新し、社会を変えるヘルスケアソリューションを提供するトップイノベーターになる」をビジョンとして掲げ、DXを加速しています。

DX推進にあたっては、高度なセキュリティ体制が欠かせません。

このような背景の中、当社の「サイバーセキュリティ戦略立案～施策実行、リスク／インシデント管理、監視、教育・人材育成」を牽引できる人材を募集します。

業務内容：

サイバーセキュリティ統括の一員として、以下のような案件をリードしていただきます。

・全社サイバーセキュリティ戦略の立案・実行

・サイバーリスク管理／インシデント対応／サイバーBCPの方針立案・高度化

・セキュリティ監視・インシデント対応チームの技術リード（被害抑制・最小化）

・セキュリティ文化醸成（アウェアネス計画・教育施策）および人材育成の推進

・全社横断のセキュリティ案件推進（合意形成、社内外調整、ベンダー／パートナー連携）

・予算・リソース計画／確保（社内承認獲得を含む）

・経営層への報告・提案

職種の魅力：

製薬業界におけるデジタルの活用は先進的であり、それに伴うセキュリティも日々進化が求められるため、サイバーセキュリティ担当としての成長機会に恵まれた環境です。全社のサイバーセキュリティ戦略～監視・インシデント対応～文化醸成・人材育成までを一気通貫でリードできるポジションです。

-----

Background to recruitment:

At Chugai Pharmaceutical, we are accelerating our digital transformation (DX) under “CHUGAI DIGITAL VISION 2030,” a vision looking ahead to 2030, which aims to become a top innovator that transforms Chugai’s business through digital technologies and delivers healthcare solutions that change society.

In promoting DX, a highly advanced security framework is essential.

Against this backdrop, we are seeking a professional who can lead cybersecurity strategy formulation through execution, risk and incident management, monitoring, as well as education and talent development across the company.

Description of work :

As a member of the Cybersecurity Leadership function, you will lead initiatives including, but not limited to, the following:

・　Formulation and execution of company-wide cybersecurity strategy

・　Policy development and enhancement for cyber risk management, incident response, and cyber BCP

・　Technical leadership of the security monitoring and incident response team, focusing on damage containment and minimization

・　Fostering a strong security culture, including awareness programs, training initiatives, and talent development

・　Driving cross-functional, enterprise-wide security initiatives, including stakeholder alignment, internal and external coordination, and collaboration with vendors and partners

・　Budgeting and resource planning and securing, including obtaining internal approvals

・　Reporting to and making proposals for executive management

Position Features:

Digital transformation in the pharmaceutical industry is highly advanced, and the associated security requirements continue to evolve on a daily basis. As a result, this role offers an exceptional environment for growth and development as a cybersecurity professional.

This position provides the opportunity to lead end-to-end cybersecurity initiatives across the company, ranging from company-wide cybersecurity strategy and monitoring to incident response, security culture development, and talent cultivation.

応募資格求める経験：

＜必須要件＞

・サイバーセキュリティマネジメント業務のリード経験（5年以上）

・全社または複数部門を跨ぐサイバーセキュリティ施策の企画・推進経験

・サイバーセキュリティインシデントの対応経験(リードとして)

＜歓迎要件＞

・海外を含むステークホルダーとの交渉・合意形成を主導した経験

・組織マネージメントの経験

・IT基盤/NWの構築やシステム開発および運用に関する経験

求めるスキル・知識・能力：

・全社戦略・方針へ落とし込める総合的知識と深い専門性

・技術トレンドを継続監視し、未解決領域の課題特定～戦略策定を主導できる問題解決力

・経営層向けの報告・提案力、部門横断の推進力

・ビジネスで意思疎通ができる日本語力および英語力

求める行動特性：

・チームのミッションに落とし込み、仮説思考でアクションを導く

・自・他部門へ働きかけ、相反する意見も受容しながら推進

・前例にとらわれず最適解を追求し変革を実行

・高い成果に向けて軌道修正し完遂

必須資格(TOEIC含)：

・四年制大学卒以上

・CEFR B2 - (語学)英語

-----

Required Qualifications:

Required:

・Over 5 years of experience leading cybersecurity management functions

・Experience in planning and driving cybersecurity initiatives across the entire company or multiple departments

・Hands-on experience leading responses to cybersecurity incidents

Preferred:

・Proven experience leading negotiations and consensus-building with stakeholders, including those overseas

・People and organizational management experience

・Experience in IT infrastructure and network design/build, as well as system development and operations

Preferred Knowledge and Skills:

・Comprehensive knowledge and deep expertise enabling translation of cybersecurity insights into company-wide strategies and policies

・Strong problem-solving capability to continuously monitor technology trends, identify challenges in unresolved areas, and lead strategy formulation

・Ability to report to and make proposals for executive management, and to drive cross-functional initiatives

・Business-level proficiency in both Japanese and English

Desired Competencies:

・Ability to translate the team’s mission into concrete actions through hypothesis-driven thinking

・Capability to influence both own and other departments, advancing initiatives while embracing and reconciling conflicting viewpoints

・Mindset to pursue optimal solutions without being constrained by precedent, and to execute transformational change

・Strong ownership to course-correct toward high performance and drive initiatives through to completion

Desired Qualification:

・Bachelor's degree or higher

・CEFR B2 - English

待遇当社規定により優遇いたします。

To be decided in accordance with our criteria.

勤務形態：フレックスタイム制（コアタイムなし）

Flextime system

労働条件の通知は電子ファイルによって行います。

ご応募される場合は、その点につきご了承ください。

The notification of working conditions will be made in an electronic file.

If you apply, please understand this point.

勤務地東京都中央区（本社）/ Main Office (Chuo Ward, Tokyo)

事業所内禁煙

就業時間内禁煙（休憩時間と就業時間外は除く）

備考

更に読む申請する

[ITや保険業界に関心のある方歓迎] リードソーシングスペシャリスト

Tokyo

Permanent

Full-time

案件ID:

70677

公開日:

2026-03-28

概要

Job Description: Lead Sourcing Specialist

AIGについて

American International Group, Inc.（AIG）は大手グローバル保険会社です。100年もの経験に基づき、現在AIGの会員企業は、80を超える国と地域のお客様を対象に、損害保険、生命保険、退職金ソリューション、その他の金融サービスを幅広く提供しています。これらの多様なサービスには、企業や個人が資産を保護し、リスクを管理し、退職後の安心を確保できる商品やサービスが含まれています。

AIGは「雇用機会均等」を保証します

「機会均等」を保証する雇用者であることは、アメリカン・インターナショナル・グループおよびその子会社や関連会社が常に守るべきポリシーです。人種、肌の色、宗教、年齢、性別、性表現、出身国、退役軍人ステータス、障がい、その他の法的に保護されたカテゴリーを問わず、すべての適格人材に平等な機会を提供します。AIGは、当社の将来とミッションにとってダイバーシティとインクルージョンが非常に重要であり、革新、成長、収益性をもたらす創造的な職場の基盤を構築するものと考えています。さまざまなプログラムや取り組みを通じて、従業員一人ひとりに投資し、従業員を個人として尊重するだけでなく、それぞれの独自の視点を真に評価するよう努めています。

Job Description

Job Details
Job Title	Lead Sourcing Specialist	Division	Japan
Department	GS&PS	Grade	GJG20
Direct Report To	Sourcing Category Lead	Indirect Report To

職務目的　Job Purpose
Global Sourcing and Procurement Servicesでは、コラボレーションとイノベーションの文化を支える、多様性のある優秀な人材を募集しています。本ポジションにおいては、社内ビジネスパートナーおよびサプライヤーとの協力関係を構築することが重要な役割となります。複数の重要かつ時間的制約のある業務を主体的に管理し、中間管理職層と効果的に連携しながら、AIGのポリシーおよび目標に沿ってソーシングプロセスを円滑に遂行します。 Lead Sourcing Specialist は、ビジネスパートナー、契約責任者、法務チームと連携し、カテゴリー戦略・目標・計画の策定および実行における信頼できるアドバイザーとして機能します。また、重要な戦略的案件の交渉・締結を行い、担当カテゴリーにおける複雑な戦略的ソーシングプロセスを推進します。

職務内容　Job Responsibilities
本ポジションは、Sourcing Leadのサポートおよび指導のもと、以下の業務を担当します。 •担当カテゴリーにおけるソーシングプロセス全般の支援（契約条件および価格交渉のサポート、RFxの実施、社内関係者と連携した交渉戦略・目標・計画の実行など） •標準化されたプロセス、システムを使用した関連の支援（サプライヤー選定基準、デューデリジェンス、パフォーマンス基準、レポート管理等） • コスト分析、財務分析、および継続的改善の取り組みにおける品質向上を主導 • PO（発注）実行に関するサプライヤー管理、問題対応およびスケジュール調整 •クロスファンクショナルなソーシングプロジェクトチームへの参画（要件定義、サプライヤー選定方法の合意形成）。これには法務および関係者と連携し、Scope Of Work（作業明細書）、LOA（委任状）、RFP（提案依頼書）などの契約関連文書の作成支援もふくみます。 • 社内ステークホルダーとの強固な関係構築 •AIGのグローバルポリシーに基づいた調達活動の遂行（仕様・予算に関するサプライヤーとビジネスの橋渡し、およびルールの遵守） • サプライヤーのパフォーマンス評価および契約遵守状況の確認および品質の維持

応募要件　Required Skills and Experiences

学歴

Educational Qualification

• 学士号
• ビジネスレベルの英語力（読み書き・会話）※TOEIC800点以上が望ましい

望ましい資格、経験

Preferred Qualifications

• ビジネス、サプライチェーン等の関連分野における上位学位

経験・スキル

Required Skills and Experiences

• ITカテゴリーにおける戦略的ソーシング経験（3年以上）
（カテゴリーマネジメント、ベンチマーキング、TCO分析、RFx等）
または、IT部門におけるインフラ関連マネジメント経験
• 技術的知見および分析力の活用能力
• 高い学習能力と戦略的に優先順位を設定する能力、コミットメント力
• 優れたコミュニケーション能力（口頭・文書）および影響力
• 自律的に行動できる方
• 優れた関係構築力およびチームでの協働力
• 高い顧客志向（ビジネスニーズの理解）
• 問題解決力（分析力、批判的思考、既存プロセスへの改善提案）
• 日本語ネイティブレベルおよびビジネスレベルの英語力

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[For those interested in AI and management] Full Stack Engineer

Tokyo

Permanent

Full-time

案件ID:

70676

公開日:

2026-03-28

概要

Digital Engineering - Full Stack Engineer

Job Purpose

Digital Engineering team, you are empowered with leading a group of highly skilled technical professionals to consistently deliver on project commitments and business objectives. Your role extends beyond day-to-day delivery management; you are expected to define and communicate a clear technical strategy that aligns with organizational goals and future vision.

Your leadership will ensure that the Digital Engineering team not only meets delivery expectations but also contributes to the organization’s competitive advantage through continuous improvement, technical excellence, and a culture of collaboration and innovation. You are responsible for creating an environment where team members are empowered to grow, experiment, and deliver high-quality solutions that advance both business and technology objectives.

Job Responsibilities

Roles and Responsibilities:

Support the technical strategy execution by driving IT execution plan.
Work closely with the various business teams to understand their needs and priorities. Evaluates business requirements and creates technical delivery plan in corporation with the AIG internal IT team and vendor resources.
Lead and deliver technology solutions in alignment with business and IT objectives.
Ensure technical projects are completed on time, on budget and within quality standards.
Manage the delivery team consisting of both internal and external resources
Reviews and approves vendor deliverables to ensure they are meeting defined quality standards, including conducting thorough technical reviews, providing constructive feedback etc.
Play a people manager role to manage a team under the Digital engineering section.

Accountabilities:

Delivery

Oversee the planning, execution, and delivery of technology projects, ensuring alignment with business objectives, timelines, and quality standard
Manage resource allocation, team capacity, and skills development to meet current and future project needs.
Act as the primary point of contact between technical teams and business stakeholders, translating business requirements into actionable technical plans

Innovation

Drive continuous improvement in technology, tools, and technical standards to enhance productivity, quality, and innovation.
Conduct/ drive regular knowledge-sharing sessions, technical workshops, and innovation forums to inspire new ideas and foster continuous learning.
Identify the opportunities for automations, new tool adoptions, and technical improvements that can enhance team productivity and solution quality

Key Relationships

Internal Interactions
(Within the Organization)

Business team
Architecture teams
Solution delivery
Production support
Data and platform teams
Global delivery teams

External Interactions
(Outside the Organization)

Business partners
Service Vendors

Required Skills and Experiences

Educational Qualification

Bachelors and/or Master’s degree or equivalent

Specific Qualifications

Japanese language: N2 & above. English business fluency
Programming languages/ Frameworks : Java, .NET, Open API, Swagger, Gen AI, Good knowledge on GitHub CoPilot, knowledge on LLMs
Web Technologies: react js, angular or any equivalent
Databases: any SQL / No-SQL
Containers: docker, container, lxc, podman (anyone is good)
Container orchestrations: Kubernetes, docker compose
Strong knowledge in SOAP & RESTful protocols
API management: APIGEE, APIM, API Gateway or any other equivalent
Messaging: Rabit MQ, Azure service bus, Azure event grid, SQS, SNS or equivalent
Code quality tools: SonarQube, fortify or any equivalent
Soft skills: good communication, time management & quick learner

Total Experience

5~10 years of experience in delivery and managing projects
Able to make timely decisions which benefits AIG and bring value to the business and technical teams

Good experience in insurance domain with emphasis on life/ commercial/consumer lines
Experience working in an organization and teams through change, improving efficiency, reducing cost and/or integrating business units or capabilities
Proven track record in delivery and run complex programs with transformation experience.

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[English-only position in Japan] Full Stack Engineer

Permanent

Full-time

案件ID:

70289

公開日:

2026-03-28

概要

Microsoft Word - AIRoA Full stack Engineer

Full stack Engineer

On-siteOta-ku, Tokyo, JapanDevelopment DivisionFull-time

Description

About AIRoA

The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data with hundreds of robots, and leveraging it to train the world’s most powerful Vision-Language- Action (VLA) models.

What makes AIRoA unique is not only the unprecedented scale of real-world data and humanoid platforms, but also our commitment to making everything open and accessible. We are building a shared “robot data ecosystem” where datasets, trained models, and benchmarks are available to everyone. Researchers around the world will be able to evaluate their models on standardized humanoid robots through our open evaluation platform.

For researchers, this means an opportunity to:

 Work on fundamental challenges in robotics and AI: multimodal learning, tactile-rich manipulation, sim-to-real transfer, and large-scale benchmarking.

 Access state-of-the-art infrastructure: hundreds of humanoid robots, GPU clusters, high-fidelity simulators, and a global-scale evaluation pipeline.

 Collaborate with leading experts across academia and industry, and publish results that will shape the next decade of robotics.

 Contribute to an initiative that will redefine the future of embodied AI— with all results made open to the world.

Key Responsibilities

 Design, develop and implement teleoperation systems, including real-time control, low-latency audio/video streaming and operator-facing interfaces.

 Work closely with robot operators to gather feedback from real-world use and continuously improve the user experience.

 Provide data-quality feedback through the teleoperation UI to encourage higher-quality data collection.

 Develop and maintain applications that support data collection, such as internal tools and dashboards.

 Build intuitive web-based interfaces for managing and monitoring data pipelines.

 Collaborate with VLA teams and Data/ML platform teams to ensure seamless data ingestion and workflow management.

 Design and implement APIs to facilitate data interactions between internal services and external data sources.

 Develop configuration-management systems to store and update metadata, including robot configurations and task descriptions.

 Ensure secure communication through robust authentication and access-control mechanisms.

Requirements

Required Qualifications

 Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).

 4+ years of professional experience as a full-stack engineer.  Proficiency in frontend frameworks such as Next.js, React or Vue.  Proficiency in implementing backend solutions using such technologies

as Go and Python FastAPI.

Preferred Qualifications

 Experience developing real-time dashboards, robot control interfaces, or similar applications.

 Experience with web crawling and large-scale data processing is a plus.  Familiarity with cloud platforms such as AWS, GCP or Azure.

 Strong understanding of web/mobile app development and real-time communication protocols (WebSocket, MQTT, gRPC).

 Experience with ROS/ROS2 and related web tools (e.g., ROSBridge, Foxglove, Webviz).

 Familiarity with robot telemetry, sensor data visualization, and live camera feeds.

 Experience optimizing system performance using performance analysis tools.

Others (linguistic qualification, etc.)

【Highly appreciated】 English proficiency at business level

Benefits

There are currently no comparable projects in the world that collect data and develop foundation models on such a large scale. As mentioned above, this is one of Japan’s leading national projects, supported by a substantial investment of 20.5 billion yen from NEDO.

This position will play a crucial role in determining the success of the project. You will have broad discretion and responsibility, and we are confident that, if successful, you will gain both a great sense of achievement and the opportunity to make a meaningful contribution to society.

Furthermore, we strongly encourage engineers to actively build their careers through this project—for example, by publishing research papers and engaging in academic activities.

●Work location

Tokyo Ryutsu Center A Bldg. AW4-5, 6-1-1 Heiwajima, Ota-ku, Tokyo 143-0006, Japan

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