AI Backend Tech Lead: Scale UGC & AI Agents

TikTok; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Job summary

TikTok is seeking a Tech Lead AI Backend Software Engineer for Asset Services in San Jose. The role focuses on building scalable AI-enabled backend services, guiding architecture decisions, and delivering high-quality user experiences for a global audience.

You will collaborate with product, design, and frontend teams to design, implement, and operate AI-driven features, ensuring robust performance, security, and reliability in a fast-paced environment.

Qualifications

• Experienced in building backend services for large-scale consumer-facing applications.
• Deep understanding of computer architectures, data structures, and algorithms.
• Excellent team communication and collaboration skills.
• Understanding of modern distributed system architecture.
• In-depth AI application experience and understanding of AI coding paradigms.

Responsibilities

• Work closely with cross functional teams like product managers, designers, and Frontend engineers to deliver state of the art user experience in the above products mentioned;
• Build world-class products end-to-end, which combine usability, accessibility, elegance, performance, and maintainability;
• Guarantee the creation experience of 100 million-level UGC users and 10 million-level designers;
• Construct an AI Native service ecosystem and development workflow;
• Build an Agent system serving intelligent creation.

Skills

Backend systems

Distributed architecture

Team communication

AI application experience

Algorithms & data structures

Education

BA/BS in Computer Science

Software development experience

AI Agents / knowledge bases

Job description

TikTok is seeking a Tech Lead AI Backend Software Engineer for Asset Services in San Jose. The role focuses on building scalable AI-enabled backend services, guiding architecture decisions, and delivering high-quality user experiences for a global audience.

You will collaborate with product, design, and frontend teams to design, implement, and operate AI-driven features, ensuring robust performance, security, and reliability in a fast-paced environment.