公司简介：
烟台合红信息科技有限公司成立于2019-09-20，法定代表人为于忠鑫，注册资本为15万元，统一社会信用代码为91370600MA3QLH9H3T，企业注册地址位于中国（山东）自贸区烟台经济技术开发区长江路200号富饶中心1号楼1705号内2号，所属行业为软件和信息技术服务业，经营范围包含：信息系统集成，软件技术开发、技术咨询、技术推广、技术服务，企业管理咨询，人力资源服务，计算机、办公设备维修，旅游信息咨询，旅游项目策划服务，会议会展服务，教育信息咨询（不含教育培训），计算机、通讯器材租赁，票务代理，营养健康咨询服务，销售：计算机、软件及辅助设备、预包装食品、日用品、化妆品、工艺品（不含象牙及其制品）、办公用品。（依法须经批准的项目，经相关部门批准后方可开展经营活动）。企业当前经营状态为在业。在招职位如下：
Software Engineering Intern
工作城市：杭州
薪资：9k-18k
学历要求：本科,硕士,博士
岗位性质：实习
岗位描述：
薪资：9k-18k
学历要求：本科,硕士,博士
岗位性质：实习
岗位描述：
Location: Singapore Remote-friendly
Eligibility: Undergraduate students currently in their 2nd or 3rd year (Sophomore or Junior)
About the Role
We build AI-native software products designed to solve real business problems.
This is not a traditional internship where you work on isolated tasks. You will partner directly with business stakeholders, take ownership of projects from idea to delivery, and help build practical AI-powered tools and workflows used by real users.
We are looking for builders — people who enjoy turning ideas into working products and are excited about applying AI to real-world challenges.
What You’ll Do
Own projects end-to-end: scope, build, test, iterate, and ship
Work directly with business stakeholders to translate requirements into software solutions
Design and implement AI-powered workflows, tools, and automations
Build and integrate applications using LLMs, APIs, agents, and AI frameworks
Evaluate prompts, models, and AI outputs to improve reliability and usability
Document solutions and continuously improve them based on feedback
Requirements
Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field
Undergraduate student in Year 2 or Year 3 (Sophomore or Junior preferred)
Strong Python programming skills
Experience building or experimenting with LLM-based applications, AI agents, RAG systems, automations, or AI workflows
Able to work independently and drive tasks to completion with limited supervision
Strong problem-solving ability and willingness to learn quickly
Good written and verbal English communication skills
Nice to Have
Experience shipping personal projects, hackathon projects, or open-source contributions
Familiarity with Git, GitHub, and modern software development workflows
Experience with AI tools and frameworks such as OpenAI APIs, Claude, LangChain, CrewAI, AutoGen, or similar
Exposure to cloud platforms and deployment tools
Interest in finance, operations, SaaS, or business automation
What You’ll Learn
End-to-end project ownership: from requirements to deployment
Practical AI engineering: tool selection, prompt design, evaluation, and iteration
How to work effectively at the intersection of business and engineering
Building and shipping AI-powered software in a production context
Eligibility: Undergraduate students currently in their 2nd or 3rd year (Sophomore or Junior)
About the Role
We build AI-native software products designed to solve real business problems.
This is not a traditional internship where you work on isolated tasks. You will partner directly with business stakeholders, take ownership of projects from idea to delivery, and help build practical AI-powered tools and workflows used by real users.
We are looking for builders — people who enjoy turning ideas into working products and are excited about applying AI to real-world challenges.
What You’ll Do
Own projects end-to-end: scope, build, test, iterate, and ship
Work directly with business stakeholders to translate requirements into software solutions
Design and implement AI-powered workflows, tools, and automations
Build and integrate applications using LLMs, APIs, agents, and AI frameworks
Evaluate prompts, models, and AI outputs to improve reliability and usability
Document solutions and continuously improve them based on feedback
Requirements
Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, AI, or a related field
Undergraduate student in Year 2 or Year 3 (Sophomore or Junior preferred)
Strong Python programming skills
Experience building or experimenting with LLM-based applications, AI agents, RAG systems, automations, or AI workflows
Able to work independently and drive tasks to completion with limited supervision
Strong problem-solving ability and willingness to learn quickly
Good written and verbal English communication skills
Nice to Have
Experience shipping personal projects, hackathon projects, or open-source contributions
Familiarity with Git, GitHub, and modern software development workflows
Experience with AI tools and frameworks such as OpenAI APIs, Claude, LangChain, CrewAI, AutoGen, or similar
Exposure to cloud platforms and deployment tools
Interest in finance, operations, SaaS, or business automation
What You’ll Learn
End-to-end project ownership: from requirements to deployment
Practical AI engineering: tool selection, prompt design, evaluation, and iteration
How to work effectively at the intersection of business and engineering
Building and shipping AI-powered software in a production context