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

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

Location: Singapore

Employment Type: Regular

Job Code: J2Y6L

Responsibilities

• Design, develop, and maintain full‑stack applications for the company 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.

Minimum Qualifications

• Bachelor’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 Qualifications

• 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.