Drimva

TikTok

Tech Lead AI Software Engineer - Creative AI Agents (TikTok)

San Jose, California · Full-time · Posted Oct 28, 2026

Experience
5 years of relevant industry experience; 2+ years working with LLM/AIGC empowered products or tools.
Education
B.S. or M.S. in Computer Science or a related technical field.

About the job

Leads technical direction and end-to-end delivery of TikTok’s AI Effect Generation system, turning creator ideas into interactive visual and 3D effects using generative and agentic AI.

What you'll do

  • Set the technical vision and roadmap, and lead architecture, development, rollout, and maintenance of the AI Effect Generation system.
  • Research and productize generative and agentic AI for visual, interactive, and 3D content; establish evaluation, experimentation, and monitoring practices.
  • Partner across teams to deliver product outcomes and mentor engineers and researchers.

What they ask for

  • B.S. or M.S. in Computer Science or a related technical field, with 5 years of relevant industry experience; 2+ years working with LLM/AIGC empowered products or tools.
  • Strong foundation in data structures, algorithms, and system design, plus proficiency in JavaScript/TypeScript, C/C++, or Python.
  • Familiarity with modern web front-end technologies such as TypeScript, JavaScript, React, or similar frameworks.
  • Experience leading technical design and end-to-end delivery of complex cross-functional AI or software products, including ambiguous or 0-to-1 initiatives into production.

Nice to have

  • M.S. or Ph.D. specializing in AI, machine learning, computer graphics, or a related field.
  • Experience with generative AI systems, multimodal models or agents, creative tools, graphics/3D, or AI platforms and research infrastructure.

Tools

JavaScript/TypeScript, C/C++, Python, TypeScript, JavaScript, React, LLMs, RAG

AI focus

Leads development of generative and agentic AI for interactive visual and 3D effect creation, integrating multimodal models with graphics engines and creator workflows; includes data, context engineering, evaluation, experimentation, and quality monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)