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.
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