Responsible for building the next-generation AI Agent-powered intelligent growth platform that serves millions of advertisers and reaches billions of users every day. We are embedding LLM reasoning, multimodal perception, and autonomous decision-making directly into the full advertising lifecycle — from ad creation and creative generation to bidding strategy, attribution, and measurement, helping businesses worldwide efficiently connect with customers and achieve commercial success on TikTok.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Key Responsibilities:
- Architect & build AI Agent systems.
- Work on backend development of TikTok's proprietary CRM platform.
- Build enterprise-grade solutions serving millions of customers and supporting billions in revenue.
- Build a globalized CRM System with high performance and availability across multiple regions.
- Collaborate cross-functionally: Work closely with Product, Operations, Sales, and Data Science teams to utilize AI capabilities into measurable growth outcomes.
Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's or Mster's degree in Computer Science or a related discipline.
Preferred Qualifications:
- Hands-on experience with AI Agents and Multi-Agent workflows (e.g., autonomous task execution, agent collaboration).
- Deep familiarity with engineering patterns such as MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), and Code Embedding.
- Experience with big data components including Spark, OLAP engines and Flink is a plus, but not required.
- Familiarity with Elastic Search and key/value stores (Redis, Memcached etc) is a plus.
- Familiarity with Message Queue (Kafka, RabbitMQ, RocketMQ etc) is a plus.
- Familiarity with CRM platforms and Ad Sales automated processes is a plus.
- Experience with Java is preferred.
- Experience with Spring Boot and/or other Microservice frameworks is preferred.
- Experience with relational databases (MySQL, Postgres etc) is preferred.