Software Engineer Intern (TikTok-PGC-LLM Applications and AI Agents) - 2026 Summer (BS/MS)

We are looking for highly motivated new graduates with strong engineering foundations and a passion for AI to join our San Jose-based AI Applications team. You will work on building an Intelligent Operations Agent that empowers our content and creator operations through cutting-edge AI technologies such as LLMs, multi-agent frameworks, and multimodal understanding.
This role offers the opportunity to work on real-world applications of generative AI across topic generation, AI Agents, content evaluation, user reach optimization, campaign planning and more.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026

Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Responsibilities:
- Design and implement intelligent agent systems that automate operational workflows through tool-calling, task planning, and execution orchestration using LLMs and advanced reasoning techniques.
- Integrate large language models (LLMs) and Retrieval-Augmented Generation (RAG) into real-world business applications to enable dynamic topic generation, user segmentation, and strategy optimization.
- Contribute to the development of multi-agent systems that support complex task coordination across content understanding, creative generation, data analysis, and decision-making.
- Collaborate with cross-functional teams including product managers, algorithm researchers, and infrastructure engineers to build scalable, efficient, and reusable AI-powered systems.
- Stay at the forefront of AI advancements, actively researching and applying the latest techniques in LLMs, agent frameworks, and data development to drive innovation within the team.