AI Agent Engineer Graduate (Search) - 2027 Start

We are the TikTok Search Engineering team, dedicated to building a world-class mobile search experience. You will help develop high-performance, highly reliable search products that serve hundreds of millions of users, while tackling end-to-end engineering challenges in complex business scenarios. Here, we do not define roles by traditional functional boundaries. As an Agent Engineer, you will not only contribute to the development and iteration of core search products, but also explore practical applications of AI Agents in engineering productivity, process automation, and product innovation.

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.

Responsibility: - Participate in the development of TikTok’s search results page and other related core scenarios, working closely with Product, Design, Algorithm, and other cross-functional teams to independently drive the full cycle from requirement analysis and technical solution design to development, launch, and post-launch evaluation. - Leverage multi-platform technology stacks including Lynx, Android, iOS, and Server to develop and continuously optimize search business modules, ensuring code quality, performance, and stability. - Evaluate product performance through A/B testing and data analysis, identify experience issues, and drive feature iterations to continuously improve the user search experience. - Integrate AI Agents into daily R&D workflows and explore their applications in scenarios such as coding assistance, intelligent debugging, automated testing, issue troubleshooting, and business process automation. - Participate in engineering initiatives such as performance monitoring, exception management, cache preloading, and stability improvements, and drive the full closed loop from issue discovery and analysis to solution implementation. - Build reusable technical solutions, tools, and best practices to continuously improve the team’s engineering efficiency and software quality.