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TikTok

Software Test Engineer Graduate (AI) - 2027 Start

SingaporePosted Aug 3, 2026

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

The TikTok Engineering Test Team is dedicated to ensuring the quality, reliability, and security of TikTok's products at global scale. We partner closely with software engineers, algorithm engineers, and product teams to accelerate feature delivery while maintaining exceptional product quality.

Our team is redefining how quality assurance is built. We leverage Large Language Models (LLMs), AI agents, and intelligent automation to reimagine the entire testing lifecycle-from test design and execution to bug analysis, quality evaluation, and engineering productivity. Our mission is to build next-generation AI-powered testing capabilities that enable faster, smarter, and more scalable software delivery. Joining our team and working at the intersection of Software Engineering, Quality Engineering, and Generative AI, helping shape the future of AI-native software testing at TikTok.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Design and develop AI-powered testing solutions that improve software quality and engineering efficiency across the entire software development lifecycle.
- Work on quality and engineering efficiency initiatives leveraging LLMs, including change risk analysis, automated testing, search quality evaluation, and LLM security testing.
- Identify quality and engineering efficiency pain points in collaboration with software and algorithm engineering teams, propose practical optimization solutions, and drive their implementation to improve product quality and engineering efficiency.
- Stay up to date with the latest advancements in Large Language Models (LLMs) and AIGC technologies, explore innovative quality and engineering efficiency solutions for software testing, and continuously refine them through practical application.

Qualifications

Minimum Qualification(s):
- Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
- Experience in software quality assurance or software testing, preferably for mobile applications, backend services, or distributed systems.
- Solid understanding of software testing methodologies, debugging, and quality assurance best practices across the software development lifecycle.
- Familiarity with distributed systems and fundamental knowledge of iOS and/or Android platforms.
- Experience with one or more testing domains, including automation testing, performance testing, or test platform/tool development.
- Strong interest in Generative AI and Large Language Models (LLMs), with an understanding of common LLM capabilities and real-world application scenarios.
- Excellent analytical and problem-solving skills, with the ability to collaborate effectively across cross-functional and global teams.
- Passion for building high-quality products and driving end-to-end quality assurance through AI-powered testing technologies.

Preferred Qualification(s):
- Proficiency in one or more programming languages such as Java, Python, Go, or Objective-C.
- Experience developing test automation frameworks, testing platforms, or engineering productivity tools.
- Familiarity with distributed infrastructure and cloud-native technologies such as Redis, Kafka, Docker, Kubernetes, Hive, Spark, NSQ, or ZeroMQ.
- Hands-on experience with AI-related projects, including LLM application development, AI agent evaluation, model evaluation, AI-assisted testing, or AI testing frameworks.
- Experience leveraging AI tools (e.g. LLMs, AI coding assistants, or AI agents) to improve testing efficiency, automate test case generation, bug analysis, or software quality workflows.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
- Experience in software quality assurance or software testing, preferably for mobile applications, backend services, or distributed systems.
- Solid understanding of software testing methodologies, debugging, and quality assurance best practices across the software development lifecycle.
- Familiarity with distributed systems and fundamental knowledge of iOS and/or Android platforms.
- Experience with one or more testing domains, including automation testing, performance testing, or test platform/tool development.
- Strong interest in Generative AI and Large Language Models (LLMs), with an understanding of common LLM capabilities and real-world application scenarios.
- Excellent analytical and problem-solving skills, with the ability to collaborate effectively across cross-functional and global teams.
- Passion for building high-quality products and driving end-to-end quality assurance through AI-powered testing technologies.

Preferred Qualification(s):
- Proficiency in one or more programming languages such as Java, Python, Go, or Objective-C.
- Experience developing test automation frameworks, testing platforms, or engineering productivity tools.
- Familiarity with distributed infrastructure and cloud-native technologies such as Redis, Kafka, Docker, Kubernetes, Hive, Spark, NSQ, or ZeroMQ.
- Hands-on experience with AI-related projects, including LLM application development, AI agent evaluation, model evaluation, AI-assisted testing, or AI testing frameworks.
- Experience leveraging AI tools (e.g. LLMs, AI coding assistants, or AI agents) to improve testing efficiency, automate test case generation, bug analysis, or software quality workflows.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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