Software Engineer

  • Tokyo
  • Remote OK
  • Full-time
  • December 22, 2022
Apply from Anywhere 👍
Relocation to Japan 👍
(Overseas visa sponsorship supported)
Language Requirements
Japanese: Business Level
English: Conversational

仕事内容 Position Overview






Product Description

ExaWizards and VisionWiz* strive to support preschools and enrichment lesson providers in improving their services by fully utilising “Torinku,” the AI-powered photo service that realises a new type of security monitoring with an AI camera to deliver natural photos of children to their parents, who are not usually privy to their preschool activities.

Photos taken every day are delivered to the parents through “Torinku” by the end of the day on a daily basis. The AI camera detects every movement and facial expression of the children, automatically takes pictures, and sorts them. Parents can thus view through these photos their child’s activities at school to which they are not usually privy – in other words, parents can now know how their child behaves in everyday classroom settings, how enthusiastically the child works on a task, how the child tries to do things in the classroom that he/she cannot do at home, etc.

*VisionWiz is a domestic subsidiary of ExaWizards. ExaWizards spins out product teams for products that have reached a certain trajectory, or when establishing Joint Venture, to create a freer and faster structure.

Job Contents

You will be developing our media data pipelines as well as main API services. Currently, we are looking for a new team member to help us build out our core API services as well as development of our on-location servers. You will also have an opportunity to expand your mission to IoT, or other areas depending on your interests. Experience in both is not required but we would expect our members to have eagerness to learn.

開発環境 / Development Environment

使用言語 (主ではないものをetcとしています)

  • 言語

    • Python

  • フレームワーク

    • FastAPI

  • その他

    • AWS (S3, Batch, ECS, Lambda, Greengrass, etc)



  • 2週間のスプリント開発です / 2 weeks sprints

  • 基本的にはそれぞれのメンバーがタスクを持ち、必要な時に協力し合う体制です。 / Members should hold ownership over their tasks while working together with other members. Able to ask for help from other members when needed.


Backend : バックエンドのコードはすべてPythonで書かれており、主にFastAPIや、バッチで実行されるPythonスクリプトとして使用しています。 / Our backend code is all written in Python primarily with FastAPI or as Python scripts we run in Batch jobs.

IoT Server : 複数のコンテナをオーケストレーションしてタスクを管理するNVIDIA Jetsonデバイスへのデプロイを、AWS Greengrassで管理しています。 / Managing deployments with AWS Greengrass to NVIDIA Jetson devices that orchestrates several containers to manage on-location tasks.

必須要件 Required Skills

  • Pythonでの開発経験

  • クラウド環境での開発経験 (AWS, GCP, Azureなど)

  • プロダクト開発に関するデザインとテスティングの経験

  • MySQLまたはPostgreSQLの知識

  • Dockerの利用経験

  • ビジネスレベルの日本語能力

  • Development experience with Python

  • Experience working with cloud platforms (AWS, GCP, Azure)

  • Experience in designing and writing tests

  • Knowledge of either MySQL or PostgreSQL

  • Proficiency with Docker

  • Working-level Japanese proficiency (able to communicate their ideas and participate in conversations for work)

歓迎要件 Preferred Skills

  • NDIVIA Jetsonを用いたIoT開発経験

  • 大規模なメディアマネジメントシステムの開発経験

  • Management of IoT device networks (status monitoring, deployments, remote debugging, etc)

  • TerraformやIaCの知識

  • AWSサービスの利用経験

  • チームでリーダーシップを発揮した経験や、発揮するスキル

  • Experience working with NVIDIA Jetson devices for IoT Services

  • Experience in building scalable media management systems

  • Management of IoT device networks (status monitoring, deployments, remote debugging, etc)

  • Terraform/Infrastructure as code knowledge

  • Experience working with AWS services

  • Team leadership experience & skills

選考フロー Screening Process

▼Documentation Screening (Resume & Test) / 書類選考

▼1st Interview (Technical Interview) / 1次面接(技術面接)

▼2nd Interview (Technical Interview) / 2次面接(技術面接)

▼Final Interview (HR and CEO Interview) / 最終面接(HR, CEOによるインタビュー)

ExaWizards is an AI start-up with a simple mission: solve social issues using AI and create a happy society. But to achieve it, they’re tackling issues across a wide variety of industries: Care tech, HR, fintech, medicine, security and more. They believe AI can help solve problems in all these areas, and they’re determined to do just that. Their business model can be broken into two different flows: project-focused and product-focused. For project-focused initiatives, they start from scratch. Their ML engineers and consultants identify business problems and build models aimed at solving them. In their product flow, they take the ML models developed for specific problems and generalize them to be useful for a wider array of problems. Normally they develop these solutions into SaaS products.

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