Fullstack Engineer (Data Application & AI Agent) - TikTok Live - Singapore

About TikTokTikTok 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 UsInspiring 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 & InclusionTikTok 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.About the Team:TikTok LIVE Data Platform is building next-generation Data & AI infrastructure, including the Index Platform, Label Platform, Portrait Platform, Diagnostic Platform, Data Asset Management Platform, Data Suite, Data Agent and AI-native solutions for internal and business users.Our platform powers data products across TikTok LIVE, covering data processing (streaming & batch), OLAP analytics, data visualization, AI-powered analytics, intelligent diagnostics, and AI Agent workflows. We are building the next generation of AI-native data applications that combine modern full-stack engineering with large language models to enable intelligent analysis, automation, and decision making.As part of the team, you’ll work across both frontend and backend systems, collaborating closely with product managers, data engineers, AI engineers, and infrastructure teams to build scalable products that empower millions of users and internal stakeholders.ResponsibilitiesDesign, develop, and maintain full-stack applications for TikTok LIVE Data Platform, including web applications, backend services, APIs, and AI-native workflows.Build intelligent data products such as analytics platforms, diagnostic systems, BI tools, AI Agents, and data management platforms that improve business efficiency and decision making.Collaborate with product, data, AI, and infrastructure teams to deliver scalable, reliable, and high-performance solutions across frontend, backend, and cloud services.Explore and adopt modern AI-native development paradigms, leveraging LLMs and AI Agents to enhance product capabilities, engineering productivity, and user experience.Continuously improve engineering excellence through reusable architecture, developer tooling, testing, performance optimization, and best practices.QualificationsMinimum QualificationsBachelor’s degree or above in Computer Science or a related technical discipline.Solid software engineering fundamentals with experience developing modern web applications using at least one mainstream frontend framework (React, Vue, Angular, etc.).Experience building backend services and APIs with at least one backend language (Java, Go, Python, Node.js, etc.), with understanding of distributed systems and service-oriented architecture.Familiar with frontend engineering, component-based development, API design, and modern software development practices.Good understanding of databases, data modeling, and common storage technologies (SQL/NoSQL).Strong problem-solving ability, communication skills, and willingness to learn new technologies in a fast-paced environment.Good written and spoken English for cross-functional and cross-regional collaboration.Preferred QualificationsCandidates with one or more of the following experiences are highly preferred:Experience building data platforms, data infrastructure, or data-intensive applications, with familiarity in technologies such as Spark, Flink, Kafka, ClickHouse, Doris, Elasticsearch, or similar systems.Experience developing data visualization platforms, BI systems, dashboards, or analytical applications using modern visualization frameworks.Hands-on experience building AI-native applications or AI Agents, with practical knowledge of Agent architectures, orchestration frameworks, tool calling, memory, planning, and evaluation methodologies.