Appier· HQ in Taiwan

Software Engineer Intern, Backend Development

Location: Taipei, Taiwan · Category: Engineering & Development · Seniority: Intern · Posted: August 1, 2026 · Verified: Sep 20, 2026

Role Overview & Description

This internship focuses on backend software development, contributing to the design and implementation of server-side systems. Interns will work with modern backend technologies and collaborate with engineering teams to build scalable solutions.
Source & Transparency: This position was structured directly from the publicly accessible career portal of Appier. Details on the employer’s original job posting are authoritative. Polaris7 charges no placement fees and conducts no candidate screening.

About the company

AI software for advertising, personalisation and customer data activation.

Similar Positions in DACH

Related roles across advertising, media, and data

Re-check scheduledDE-Berlin-Trion BuildingEngineering & DevelopmentIntern

This paid software engineering internship in Berlin offers students hands-on experience working on Snowflake's cloud data platform. Interns contribute to real systems used by customers, with mentorship and exposure to a fast-paced startup culture. Requires enrollment in an accredited program with coursework in algorithms, data structures, and operating systems.

More Positions at Appier

3 more open roles

Verified todayTaipei, TaiwanEngineering & DevelopmentSenior

This role focuses on backend development for Appier's core products, requiring expertise in building scalable and reliable systems. The engineer will design, implement, and maintain backend services to support the company's AI-driven advertising platform.

Verified todaySeoul, South KoreaData, AI & AnalyticsUnspecified

[Part Time] AI Creative QC Reviewer, Korea

Verified todayTaipei, TaiwanData, AI & AnalyticsIntern

This internship focuses on supporting data analysis tasks, including data cleaning, visualization, and generating insights to inform business decisions. The role involves working with large datasets and collaborating with cross-functional teams.