Software Development Intern (Web/Back End)

Posted 2 Days Ago
Be an Early Applicant
İstanbul, Fatih, İstanbul, TUR
Hybrid
Internship
Artificial Intelligence • Fashion • Software • Analytics
The Role
Work as a backend development intern building and maintaining scalable server-side systems. Use Node.js/Deno, AWS Lambda, and databases (MongoDB/Redis/SQL/NoSQL). Collaborate with engineers on API integration, code reviews, reliability, and data pipelines while receiving mentorship in an AI-driven fashion-tech startup.
Summary Generated by Built In
T-Fashion Rising Star Internship Program

Our Rising Star Internship Program is all about spotting potential and nurturing it. At T-Fashion, the brightest trends our AI uncovers earn the tag “Rising Star”—and now, we’re on the lookout for the brightest talent to join us! As part of this internship program, you’ll not only gain hands-on experience but also the opportunity to contribute meaningfully to projects that bridge AI with the fashion industry.

From day one, you’ll be part of a fast-growing, innovative startup where your creativity, ideas, and skills will be valued. Join us to gain mentorship, industry experience, and to make an impact in the future of fashion tech.

About Us

At T-Fashion, we’re creating innovative solutions at the intersection of AI and fashion. Based in Toronto and Istanbul, we use AI-powered insights to analyze trends, decode consumer behavior, and bring generative design to life for fashion brands. Join us as we continue to redefine how the fashion industry operates.

Why Join Us

You’ll be working on groundbreaking technology alongside talented professionals. Our supportive environment encourages growth, learning, and collaboration as we push the boundaries of AI and fashion.

The Role

We are seeking a Back End Development Intern for our Vadistanbul office. You’ll help develop the backend systems that power our platform, gaining exposure to real-world projects and the chance to make a tangible impact.

Responsibilities
  • Assist in developing and maintaining scalable backend solutions for our platform.

  • Work with technologies like Node.js, Deno, AWS, Lambda, MongoDB, Redis, REST APIs, databases (SQL/NoSQL).

  • Collaborate with the team to integrate user-facing elements with server-side logic.

  • Participate in code reviews and discussions to define best practices.

  • Help improve system reliability and data processing pipelines.

Requirements
  • Pursuing a degree in Computer Science, Software Engineering, or a related discipline.

  • Basic understanding of backend technologies (Node.js, Deno, AWS, Lambda, REST APIs, databases such as MongoDB and Redis).

  • Experience with JavaScript and enthusiasm for learning new technologies.

  • Familiarity with cloud services (AWS, Google Cloud, etc.) is a plus.

  • Strong problem-solving skills and attention to detail.

  • Full stack knowledge is a plus (React, etc.).

What We Offer
  • Practical experience in a fast-paced AI startup.

  • Mentorship from experienced professionals.

  • An opportunity to work on projects with direct impact.

  • Competitive internship package.

Let’s Innovate Together!

Skills Required

  • Pursuing a degree in Computer Science, Software Engineering, or related discipline
  • Basic understanding of backend technologies (Node.js, Deno, AWS, Lambda, REST APIs, databases such as MongoDB and Redis)
  • Experience with JavaScript
  • Familiarity with cloud services (AWS, Google Cloud, etc.)
  • Strong problem-solving skills and attention to detail
  • Full stack knowledge (React, etc.)
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The Company
0 Employees

What We Do

T-Fashion is an AI-powered trend forecasting and design platform that provides customized trend insights and fashion analyses to companies in the fashion industry. By utilizing deep learning algorithms to analyze billions of online interactions and social media accounts, T-Fashion helps fashion brands optimize design and production decisions through data-driven insights and specialized sustainability intelligence services for a more eco-conscious approach.

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