Backend Software Engineer (AI Coding) - TikTok Live Revenue

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

We are looking for passionate and talented engineers to join us to build up and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming at TikTok. We will be deeply involved in the developmental lifecycle of critical product features, and collaborate closely with product managers to deliver the best live streaming experience for live streamers and viewers.

TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.

With the rapid advancement of AI technology, we are actively exploring the application of AI Coding to enhance R&D efficiency and empower business capabilities. We are looking for engineers who are passionate about AI and have solid backend skills to build the next-generation intelligent development ecosystem.

You will:

• Plan and lead large-scale technical projects to lay the foundation for the iterative development and scale of revenue products
• Develop robust, efficient technology products that serve billions of users with high availability and performance
• Build skill-friendly internal AI Coding products, implement LLM/RAG/Agent technologies to help business teams establish best practices for AI-assisted development
• Apply AI technologies to optimize existing business systems, continuously research cutting-edge AI Coding trends and drive technical innovation

Minimum Qualifications

• Solid computer science fundamentals, proficient in at least one backend language (Go/Python/Java), with experience in distributed systems and common databases/middleware
• Continuously follow global AI community trends, maintain curiosity for emerging technologies, and conduct in-depth research on challenging technical problems
• Familiar with AI technology ecosystem, with development experience in Prompt Engineering, LLM, AI Agent, multimodal, RAG, Memory, etc.

Preferred Qualifications

• Strong grasp of business architecture, system design, and backend service patterns at scale
• Experience with AI Coding tools such as IDE extensions, AI Agents, or CLI-based assistants (e.g., Cursor, Claude Code, OpenCode)
• Deep understanding of how to implement AI Coding practices within engineering teams, with insights on adoption strategies and best practices