Jobs and Careers
TI

AI software Engineer Project Intern (Transaction Platform) - 2026 Start (BS/MS)

TikTok
San Jose, United StatesinternshipVerifiedPosted 9 Jun 2026

About the role

Our Team is building AI infrastructure and developer platform capabilities used by approximately 500 engineers.

The team supports AI-native software development by improving shared tooling, platform workflows, and reusable technical building blocks across the engineering organization.



As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Applications will be reviewed on a rolling basis - we encourage you to apply early.



What You'll Gain

- Experience building AI infrastructure and platform capabilities for a real engineering organization of approximately 500 engineers.

- Exposure to practical challenges in AI-native developer tooling, including knowledge systems, agent capabilities, and platform usability.

- Opportunities to work on cross-functional infrastructure projects spanning backend, frontend, and developer workflow integration.

- Mentorship and hands-on experience in applied AI platform engineering within a production engineering environment.



Responsibilities

- Contribute to AI infrastructure and platform development that supports internal engineering use cases at scale.

- Build and improve knowledge base capabilities, including document ingestion, indexing, retrieval, and RAG-style pipelines.

- Develop and refine AI Skills, including modular agent capabilities and reusable tool integrations.

- Help optimize the experience of the unified AI Coding platform for engineering users.

- Support public infrastructure work related to AI-native developer tooling, platform workflows, and internal integration patterns.

- Collaborate with engineers across backend, frontend, and platform domains to prototype, test, and iterate on developer-facing AI systems.

- Assist with evaluating system quality, reliability, and usability of AI platform components.

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