岗位概述

负责公司核心后端服务（广告系统、平台中台、业务服务等）的研发与维护，使用 Golang / Java 构建高性能、高并发服务，同时探索 AI / LLM 在业务场景中的工程化落地。

本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。

职责描述

- 参与后端/服务端业务功能开发与维护，编写高质量代码并完成单元测试

- 在导师指导下参与系统优化、问题排查及性能提升工作

- 配合前端、客户端完成接口联调，参与技术文档的编写与整理

- 参与业务系统设计，包括接口设计、数据结构设计等

- 探索 LLM / Agent 框架（如 Dify / Coze）在广告或业务场景中的应用，提升业务自动化与智能化水平

任职资格

- 计算机相关专业在读，本科及以上学历

- Golang 方向：熟悉 Golang 基础语法（goroutine、channel、interface 等），了解并发模型与内存管理

- Java 方向：熟悉 Spring Boot / Spring Cloud 生态，了解多线程编程与 JVM 基础原理

- 熟悉 MySQL、Redis 等常见数据库，具备基本 SQL 优化能力，了解 Kafka 等中间件基本概念

- 熟悉 Linux 基本操作，了解常见开发工具（Git 等），具备良好的代码习惯

- 有 AI Coding 实践经验，对 LLM 有兴趣，了解 Prompt Engineering 或 RAG 等基本概念

加分项

- 有高并发系统、分布式架构或容器化（Docker）实践经验

- 有利用 LLM 结合业务场景开发 AI Agent、智能助手等经验

- 有完整实际项目经验（个人项目 / 实习 / 开源项目）

▸ Overview

You'll help build and maintain core backend services — from ad systems to platform middleware — using Golang or Java, while exploring practical applications of LLMs in real business workflows.

This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer.

▸ Responsibilities

- Develop and maintain backend service features; write clean, well-tested code

- Work with mentors on system optimization, debugging, and performance tuning

- Collaborate with frontend and client teams on API integration; contribute to technical documentation

- Participate in system design — API contracts, data modeling, and architectural decisions

- Explore applying LLM/Agent frameworks (e.g., Dify, Coze) to improve business automation and intelligence

▸ Qualifications

- Bachelor's degree or above in a CS-related field

- Golang: Familiarity with goroutines, channels, and interfaces; basic understanding of concurrency and memory management

- Java: Familiarity with Spring Boot/Spring Cloud; understanding of multithreading and JVM fundamentals

- Proficiency with MySQL and Redis; basic SQL optimization skills; awareness of Kafka and similar middleware

- Comfortable with Linux and standard development tools (Git, etc.); solid coding practices

- Some AI coding experience; interest in LLMs; working knowledge of Prompt Engineering or RAG concepts

▸ Bonus Points

- Experience with high-concurrency systems, distributed architectures, or containerization (Docker)

- Experience building LLM-powered AI Agents or intelligent assistants for real business use cases

- Complete project experience — personal, internship, or open source