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# Senior Software Engineer, E-Commerce AI Platform - USDS

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $187,040.0 - $359,720.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Software, Data Structures, Software Design Patterns, Software Engineering, Systems Architecture, Chatbots, Large Language Models, Multi-Agent Systems, AI Platforms, Information Technology, Machine Learning Operations, Virtual Agents
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7b1f0abc4515c8a9

## About the Role

Do you have experience in Software engineering?, Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical discipline. - 1+ years of hands-on experience building, training, and deploying complex and scalable Machine Learning systems. - Strong foundation in Computer Science, including algorithms, data structures, and software design patterns. Excellent problem-solving abilities. - Solid programming skills with a strong understanding of Agentic AI and AI platforms like ChatBot, Rag, A2A protocols, etc. - Proven experience in managing technical projects and delivering results. Preferred Qualifications: - In-depth experience with Agentic AI and related sub-systems (e.g., Rag, AutoPrompt). - Deep understanding of the full LLM training and serving process.

## Description

About the Team: We are the TikTok E-commerce AI Platform team (USDS). Our mission is to build the one-stop AI platform that allows different business domains to fully realize the potential of LLM and AI Agents. We are providing business-centric and user-friendly platform that covers from model training, model servce managements, MCP/Skills/Tools integration, and AI orchestration, and business applications. Our visions are maximizing end-to-end AI application development efficiency and ultimately enabling e-commerce business to achieve self-evolving AI native goal. Responsibilities: - System Architecture & Implementation: Lead the design, implementation, and operation of AI platforms that can provide robust performance and flexible business integration solutions. - Cross-Functional Collaboration: Partner effectively across various teams, organizations, and internal/external stakeholders to drive complex engineering efforts and align technical strategies. - Innovation: Drive technical
innovation by identifying and integrating emerging technologies and novel ideas to keep our infrastructure at the cutting edge.


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