About the role#
This internship focuses on building AI infrastructure and developer platform capabilities. You will join a team that supports approximately 500 engineers by improving shared tooling, workflows, and technical building blocks. You will work on short-term projects that provide practical experience in a production engineering environment.
What you'll do#
- Contribute to AI infrastructure and platform development for internal use cases at scale.
- Build and improve knowledge base capabilities, including document ingestion, indexing, retrieval, and RAG-style pipelines.
- Develop and refine AI Skills, such as modular agent capabilities and reusable tool integrations.
- Optimize the experience of the unified AI Coding platform for engineering users.
- Support infrastructure work related to AI-native developer tooling, platform workflows, and internal integration patterns.
- Collaborate with backend, frontend, and platform engineers to prototype, test, and iterate on developer-facing AI systems.
- Evaluate system quality, reliability, and usability of AI platform components.
What you'll need#
- Currently pursuing an Undergraduate or Master degree in Computer Science or a related technical field.
- Solid programming skills and software engineering fundamentals.
- Hands-on experience with AI systems, such as information retrieval, LLM applications, agents, RAG pipelines, or developer tools.
- Familiarity with backend or frontend development in modern engineering environments.
- Ability to solve infrastructure or platform problems with a focus on reliability, maintainability, and developer experience.
- Strong problem-solving skills and clear written and verbal communication.
- Experience with knowledge base systems, document processing pipelines, search, or retrieval infrastructure is preferred.
- Experience building internal tools, developer platforms, or productivity tooling is a plus.
- Familiarity with Java, React, and engineering tools like GitLab, CI/CD systems, or project management platforms such as Meego.
- Experience with the evaluation, debugging, or operational improvement of AI-assisted workflows.
Location & details#
- Location: San Jose, California.
- Type: Full-time internship.
- Modality: On-site.
- Compensation: $45 - $60 per hour.
- Process: Applications are reviewed on a rolling basis.
About TikTok
TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.
How to get in at TikTok
Landing an internship at TikTok requires speed because early applicants often get seen before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can apply among the first. This gives you a better chance of your resume being reviewed while the team is still actively filling the position. You should aim to be one of the first people to submit your materials. Reaching out to the right person can also improve your chances of getting a response. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the role or a referral. This direct approach often works better than waiting for a response from a general application queue.
