Senior QA Engineer - AI/LLM

July 28, 2025

Open

Location

Vietnam

Occupation

Full-time

Experience level

Senior

Apply

AI Summary

Binance, a global leader in the blockchain ecosystem and digital asset exchange, is seeking a skilled QA Engineer to join its team remotely. This full-time role involves driving the full software development lifecycle, from requirements analysis through testing and maintenance of AI and data-driven applications. You will create test strategies, perform root cause analysis, and develop internal tools powered by AI to enhance engineering efficiency. The position offers a competitive salary, remote flexibility, and opportunities for growth within a fast-paced, innovative environment.

The ideal candidate has a Bachelor’s or Master’s degree in Computer Science or a related field along with 3+ years of experience in software QA. Proficiency in Java programming, experience with manual and automated testing, and familiarity with AI applications and LLM prompt engineering are essential. Candidates should demonstrate strong ownership, curiosity in emerging technologies, and solid collaboration and communication skills.

Binance offers the chance to work with world-class talent on impactful projects within a user-centric global structure. The company supports continuous learning and provides a results-driven culture that values innovation, diversity, and flexibility.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities:

Participate in the entire software development lifecycle, encompassing all stages from requirements analysis to test planning, execution, defect tracking, through to product release and maintenance.
Create comprehensive and effective test strategies and hands-on testing to ensure the accuracy, reliability, and performance of AI and data applications .
Root cause analysis of test failures and product issues in an effective manner, and drive optimization for future enhancements.
Design and develop internal tools leveraging AI technology to improve engineering and testing work efficiency.

Requirements:

Bachelor or Master in computer science, computer engineering or related area.
At least 3+ years of software QA engineering experiences.
Full cycle testing with test planning and both manual/automation execution.
Solid Java coding skills, and experienced in automation or QA tools development.
Good understanding in AI applications and LLM prompt engineering techniques. Experiences in LLM development or eval is a plus.
Excellent self-driven and ownership with good deliverables.
Eager to learn, be curious about AI and new technologies of LLM.
Good communication and collaboration skills.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Apply for this job

Apply now

Thanks you!