AI-Driven Full-Stack Engineer for Live Revenue Platforms

TIKTOK PTE. LTD.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

TikTok PTE. LTD. Global Live R&D team develops the revenue products and AI tooling behind TikTok's live streaming ecosystem.

You will tackle hard technical problems spanning backend services, AI agents, and workflow orchestration to improve reliability, efficiency, and user experience at scale. You will collaborate across regions to turn evolving AI capabilities into stable, scalable solutions, delivering impact across hundreds of millions of users while advancing engineering standards and

Qualifications

• Strong CS fundamentals.
• Proficient in at least one backend language and frontend technologies.
• Experience with AI/LLMs, AI Agents, RAG or prompt engineering.
• Experience in AI engineering, developer productivity, engineering platforms or automated workflows.
• Strong communication and collaboration across functions and regions.

Responsibilities

• Design and build revenue products and AI engineering-efficiency tools and platforms across the full stack, including frontend, backend services and workflow orchestration.
• Drive the adoption of AI Coding across the development lifecycle, including requirement analysis, technical design, code generation, testing and code review, and establish team-level practices and engineering standards.
• Design, build and operate AI agents, including agent collaboration, workflow orchestration and automated verification, ensuring they run reliably in production scenarios.
• Build evaluation and observability systems for AI engineering efficiency, using data to measure impact and drive continuous improvement.

Skills

Backend

Frontend

Go

Python

Java

Node.js

TypeScript

React

LLMs

AI Agents

Prompt engineering

Job description

TikTok PTE. LTD. Global Live R&D team develops the revenue products and AI tooling behind TikTok's live streaming ecosystem.

You will tackle hard technical problems spanning backend services, AI agents, and workflow orchestration to improve reliability, efficiency, and user experience at scale. You will collaborate across regions to turn evolving AI capabilities into stable, scalable solutions, delivering impact across hundreds of millions of users while advancing engineering standards and