TikTok
AI Engineer Intern (TikTok-Client Arch)- 2027 Summer
San Jose, California · Internship · Posted Oct 28, 2026
- Experience
- Hands-on software development experience through coursework, internship, open source, or personal projects; no specific number of years stated. Must be available for 12 weeks during Summer 2027.
- Education
- Currently pursuing an undergraduate or master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Visa sponsorship
- Candidates must be able to establish authorization to work in the United States. The company does not provide sponsorship or immigration-related benefits.
About the job
Build AI-driven engineering infrastructure and application architectures that improve developer productivity, code quality, and platform reliability.
What you'll do
- Develop AI-native engineering tools for automated maintenance, refactoring, diagnosis, CI/CD optimization, and knowledge management; establish benchmarks for their impact.
- Design application architectures, service interfaces, and frameworks for AI-driven scenarios, and evaluate new tools and methods.
- Work with business and cross-functional teams to deliver scalable, highly available platform solutions and drive adoption.
What they ask for
- Currently pursuing an undergraduate or master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Able to work for 12 weeks during Summer 2027.
- Hands-on software development experience and proficiency in at least one mainstream programming language.
- Practical experience across at least two of client/application, server, and data layers, plus software engineering fundamentals and basic system design.
Nice to have
- Experience building AI applications or agents, or integrating LLMs into developer workflows.
- Experience with engineering productivity tools or platforms, CI/CD, automation, deployment, or observability.
Tools
TypeScript/JavaScript, Python, Go, Java, C/C++, CI/CD
AI focus
Build AI-native engineering infrastructure and AI-driven tools for code maintenance, refactoring, diagnosis and repair, CI/CD, knowledge management, and R&D efficiency; evaluate AI-assisted engineering outcomes.
Model-written summary · the original posting is authoritative