AI Agent Engineer Intern (Payment Data Intelligence) - 2027 Summer

About the team

The USDS Payment team at TikTok builds the core payment capabilities supporting a smooth, secure, and reliable payment experience across the platform — spanning payment acquisition, disbursement, transaction monitoring, payment method management, FX conversion, accounting, and reconciliation.

Within this org, the Payment Data Intelligence team applies data science and machine learning to improve payment services at scale. The team leverages large-scale datasets and advanced algorithms to power business-critical use cases including financial risk control, payment compliance, user growth, and operational optimization — at the intersection of ML, data infrastructure, and real-world fintech challenges.

This internship focuses on building agent-first AI applications for payment scenarios. The role is designed for candidates who want to apply the latest AI paradigms, including LLM-based agents, workflow orchestration, prompt engineering, MCP-based tool integration, and AI application evaluation, to solve practical payment business problems.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities

• Understand payment business scenarios and transform them into AI-first agentic applications based on the latest AI paradigms.
• Work with product, strategy, engineering, and data teams to identify high-value AI use cases across risk control, compliance, operations, user growth, and payment intelligence.
• Design and develop agent orchestration workflows, including task decomposition, tool selection, memory/context design, human-in-the-loop checkpoints, and failure handling.
• Implement agent workflows visually on Agent Platform or programmatically using LangGraph-like scripts, depending on the use case and production requirements.

Minimum Qualification(s)

• Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Able to commit to a 12-week internship during Summer 2027.
• Strong programming skills in Python; experience with Java, Scala, or TypeScript is a plus.
• Solid understanding of LLMs, agentic AI concepts, prompt engineering, retrieval-augmented generation, or AI application development.

Preferred Qualification(s)

• Currently pursuing a Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Familiarity with large-scale data tools such as SQL, Hive, Spark, or related data processing systems is a plus.
• Experience in fintech, payment systems, financial risk, compliance, trust and safety, recommendation systems, or operational automation is a plus.