AI Agent Engineer
Listed on 2026-06-12
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Software Engineer
Responsibilities
We are the core team responsible for the performance experience of Tik Tok LIVE, dedicated to safeguarding and continuously enhancing the end-to-end experience for billions of users worldwide—from discovering a live stream to the moment creators go live. In the context of globalization, with diverse network environments, device ecosystems, and user behaviors, we proactively identify performance bottlenecks and experience gaps by building a systematic end-to-end metrics framework and diagnostic system.
We champion “AI-driven” and “proactive leadership” as our core value creation principles. Our mission is to build industry-leading performance analysis agents and intelligent platforms—automating repetitive analysis into scalable insights, and leveraging technological innovation to directly improve live streaming experience and drive business growth at a global scale.
Here, you will have the opportunity to:
- Work at the forefront of technology:
Help build industry-leading performance analysis agents and redefine the paradigm of performance optimization in the live streaming domain. - Create real business impact:
Your work will be applied to one of the world’s largest live streaming platforms, solving complex, high-impact technical challenges. - Unlock significant growth opportunities:
Grow in a fast-moving, innovation-driven global team, and collaborate with top talent worldwide.
We believe the best talent is driven to solve the most important problems using cutting‑edge technologies. If you are passionate about AI, performance optimization, and delivering exceptional user experiences, we look forward to building a smoother and smarter LIVE future with you.
Core Responsibilities- Automatic Data Inspection and Attribution:
Real‑time monitoring, anomaly detection, and minute‑level automated attribution of massive performance metrics. - Automation of Experimental Analysis:
Automatically generate scientific and rigorous A/B experiment reports to improve decision‑making efficiency and quality. - Thematic Analysis Assistance:
Provide AI support for complex performance topics (e.g., power consumption, smoothness, loading speed) and produce in‑depth insights at scale. - Shift‑Left Code Performance Review:
Integrate AI into the Code Review (CR) phase to automatically detect performance risks, identify issues early, and address them at the source.
- Prompt Engineering and Chain of Thought (CoT):
Design and optimize prompts to fully unleash large model capabilities. - Retrieval‑Augmented Generation (RAG):
Combine with high‑quality knowledge bases to improve accuracy and timeliness of responses. - Function Calling:
Extend the Agent’s ability to interact with external tools and data sources. - Memory Mechanism and Evaluation Iteration:
Enable the Agent to learn and iterate while establishing a robust, scientific evaluation system.
Minimum Qualifications
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