Back-End Engineer for AI Platform

  • Tokyo
  • Remote OK
  • Full-time
  • November 30, 2021
Conditions
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¥5.5M ~ ¥8.5M /yr
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Apply from Anywhere 👍
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Relocation to Japan 👍
(Overseas visa sponsorship supported)
Requirements
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Language Requirements
Japanese: Conversational
English: Business Level
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Minimum Experience
Mid-level or above

▍Job Summary This is a Back-end engineer position to develop an AI platform. ▍About Products AI "Use": "Workflows" for easy access to AI and applications, including the AI-OCR "DX Suite" AI "Creation": "Learning Center" for creating highly accurate AI with no code AI "Run": Edge computing "AI inside Cube" ▍Current development status, issues, etc. Since its in November 2017, DX Suite has grown to handle a cumulative total of over 1.5 billion requests. Technical issues have become apparent in evolving the product as an AI platform. In order to resolve these issues, we have begun development of ”Workflows””Learning Center”, the successor to DX Suite. The architecture has been changed to a microservice architecture, and the technology stack has been significantly changed. ▍Specific duties You will be involved in the development and improvement of new functions. You will be involved in all aspects of the product from visioning, specification detailing, design, implementation, testing, and release. ▍Development style Collaborate with designers and be actively involved from product visioning. In order to achieve both development speed and quality, it is necessary to establish a development style. ▍What you will gain through this job you will have the chance of creating an AI platform that no one has ever seen before you will get a chance to building an advanced system with almost over 90 million requests per month ▍Main technology stack Frontend * HTML * CSS * JavaScript / TypeScript * Vue.js / Nuxt.js * Front main language Backend * Kotolin * Backend main language / Java /Springboot * Go / Gin * Python Infrastructure * Terraform / Ansible / GitAction * Pattern: Microservices / API gateway * Container: Docker / Kubernetes * Computing : AWS ALB / EC2 / ECS / EKS / Lambda * Database : Aurora * Storage : AWS S3 [tools]. * GitHub * Slack

AI Inside wants to create a world where anyone can easily create and use AI.

By bringing the power of AI to all people, they hope to build a more prosperous future. That's why AI Inside is building products like "AI Inside Cube", an edge computer to help realize all kinds of AI operations.

They also have services that help enable digital input, face authentication digitization and more – all using the power of AI.

View AI inside's company page
Back-End Engineer for AI Platform at AI inside
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