Backend Engineering Intern - rednote
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Xiaohongshu scores A on the Alion truth index.
岗位职责 / Responsibilities
Join rednote's international innovation team to help build a new business and a brand-new app from the ground up. You'll work on real product challenges, contribute across the development lifecycle, and explore how AI can accelerate engineering from idea to launch.
What You'll Do
Help design and develop backend services for a new app serving international users.
Contribute to end-to-end feature delivery, from requirements and technical design to implementation, testing, launch, and iteration.
Build and maintain APIs, data models, and business logic.
Improve service performance, reliability, and maintainability.
Work closely with product managers, designers, and client engineers to turn ideas into working features.
Use AI tools throughout development and learn to evaluate, validate, and improve AI-generated solutions.
任职要求 / Requirements
What We're Looking For
Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
Solid foundations in programming, data structures, and algorithms.
Familiarity with at least one backend language, such as Java, Go, or Python.
Basic understanding of HTTP, relational databases, caching, and Linux.
Strong curiosity, ownership, and communication skills.
Interest in AI-assisted development and a willingness to learn through hands-on work.
Nice to Have
Backend development experience through internships, personal projects, or open-source contributions.
Experience using AI coding tools in real projects.
Familiarity with distributed systems, message queues, or container technologies.
Interest in international products and user needs.
What You'll Gain
Hands-on experience building a new business and app from zero to one.
Opportunities to deliver complete features with guidance from the team.
Practical exposure to how a forward-looking technology team integrates AI into everyday engineering.
A deeper understanding of backend engineering, product development, and the trade-offs behind real-world technical decisions.