Responsibilities

About the Team The TikTok PGC-Ecosystem & Platform team is a global team responsible for ensuring the health and sustainable growth of the content ecosystem. We take on the responsibility of building next-generation backend systems powered by AI and Agents, collaborating with product managers, data scientists, and strategy operations teams. Together, we develop intelligent content understanding, risk identification systems, and automated governance platforms-utilizing cutting-edge technologies like LLMs and RAG-to ensure high-quality content distribution and a fair, creative environment for users and creators worldwide. As a core Tech Lead Software Engineer, you will go beyond routine coding to design and implement intelligent, scalable solutions. You will work at the intersection of business logic and cutting-edge technology to drive ecosystem efficiency. Responsibilities: - AI & Agent Integration: Collaborate with product managers and data scientists to design and implement backend architectures that integrate LLMs and Agent-driven workflows into real-world business scenarios. - System Architecture & Optimization: Design and maintain high-performance backend services, ensuring system reliability, scalability, and extensibility to support complex ecosystem governance logic. - End-to-End Solution Delivery: Deeply understand TikTok's product ecosystem to develop and deploy end-to-end technical solutions that address content quality and platform integrity. - Technical Excellence & Growth: Drive engineering best practices within the team, solving complex technical challenges while growing alongside a team of high-caliber engineers. - Cross-Functional Collaboration: Actively contribute your technical expertise and perspectives to the product development lifecycle, helping the team iterate and scale effectively.

Qualifications

Minimum Qualifications - BA/BS Degree in Computer Science or related major; Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, Java, Python, C++, Javascript, TypeScript; - Curiosity towards new technology and outstanding ability to analyze and solve problems; - Good grasp of software engineering and how to build a system in scalable and extensive manner. Preferred Qualifications - Hands-on experience in LLM and Agent application engineering: Proven experience in shipping real-world LLM applications, such as RAG-based intelligent assistants, Agent-driven business workflow orchestration, or LLM-powered content understanding and decisioning systems. - Experience with workflow or policy/rule engines: Led or played a core role in the design and development of workflow engines, rule engines, or policy/strategy engines, with a solid understanding of their underlying principles. - Experience in architecting complex business systems: Experience building complex business systems from the ground up, with deep understanding and hands-on practice in Domain-Driven Design (DDD) and/or Event-Driven Architecture (EDA). - Background in big data and algorithms: Familiar with data analysis, machine learning, or recommendation system technologies. Experience in domains such as content ecosystem, risk control, search, or related areas is highly preferred.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $244800 - $450000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.