Full Stack Developer Intern (Remote)

0 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

About Raptor AI Inc.

Raptor AI is a cross-border recruitment platform that helps enterprises hire global talent in weeks and retain them for years. Our platform leverages a network of AI microservices built across countries to make international hiring faster and smarter.

We are supported by the Osaka Chamber of Commerce and Industry and recognized by JETRO Japan as an innovative startup.


Role Overview

We’re looking for a Full Stack Developer Intern to assist in developing and maintaining our web applications. You’ll work on both front-end and back-end tasks, contribute to API integrations, and help improve platform performance and user experience.

This internship offers the opportunity to gain hands-on experience in full-stack development while collaborating with a distributed team across Japan, India, and other regions.


Key Responsibilities

  • Assist in developing front-end components using HTML, CSS, and JavaScript (React preferred).
  • Contribute to back-end development using Python, Node.js, or Java.
  • Work with databases such as PostgreSQL, MySQL, or MongoDB.
  • Participate in code reviews and use Git for version control.
  • Collaborate with the core engineering team to enhance product quality and scalability.


Qualifications

  • Basic understanding of both front-end and back-end development.
  • Familiarity with REST APIs and web frameworks.
  • Experience with Git or other version control systems.
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a remote environment.
  • Enthusiasm for learning new technologies and improving coding skills.
  • Currently pursuing or recently completed a degree in Computer Science, IT, or related field (preferred, not required).


What You’ll Gain

  • Mentorship from experienced developers working in Japan’s ecosystem.
  • Practical experience building real-world, production-ready applications.
  • Exposure to global AI-driven technologies.


(The stipend is based on performance and regional policy. All candidates will be informed before onboarding.)


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