The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.
Requirements
- Expert proficiency in distributed system architecture design and modern cloud technologies (AWS/GCP/Azure etc).
- Strong programming skills with mastery of multiple languages (Go/Python/Java/C++).
- Deep understanding of full-stack development patterns and cloud based software architectures.
- Experience with multi-modal AI and cloud deployment (AWS, GCP, Azure)
- Familiarity with AI monitoring, observability, and cost optimization
- Experience developing infrastructure-level platforms and software development frameworks.
- Excellent problem-solving skills with data-driven approach and systems thinking.
Responsibilities
- Build GenAI applications with LLM APIs (OpenAI, Anthropic, Gemini), prompt engineering, RAG (Pinecone/FAISS), and orchestration (LangChain, LlamaIndex, MCP)
- Perform parameter-efficient fine-tuning (LoRa, QLoRa) and integrate AI into production systems
- Follow Responsible AI practices, including bias mitigation and compliance
- Architect and implement software solutions to enhance engineering productivity, including development tools, automation platforms, and distributed data management systems.
- Lead development of mission-critical distributed systems with focus on availability, scalability, and operational excellence in cloud-native environments.
- Collaborate cross-functionally to deliver technical solutions through full lifecycle management - from concept design to production deployment and support.
Other
- 5+ years experience building enterprise-grade software systems at scale.
- Proven ability to lead technical initiatives and mentor engineering teams.
