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Binance • Bangkok, Thailand
Role & seniority: AI/LLM QA Engineer, mid-senior (3+ years in software QA)
Stack/tools: Java, automation/QA tooling, AI basics, LLM prompt engineering; experience with end-to-end test design, data and model behavior testing
Design and execute end-to-end testing for LLM-based consumer products (functionality, data, model behavior)
Verify correctness, consistency, stability, and safety of LLM outputs; perform regression testing for model updates/prompt iterations/data changes
Build automation and tooling to improve testing efficiency; explore AI/LLM–assisted test design, defect analysis, and test-case generation
BS/MS in CS/Computer Engineering or related field
3+ years of full-cycle QA experience (plan, manual & automated execution)
Solid Java coding skills; expertise in automation/QA tool development
Strong understanding of AI applications and LLM prompt engineering
Self-driven, capable of ownership, good communication and collaboration
Experience in LLM development or evaluation
Experience applying AI tools to testing workflows
Enthusiasm for learning and adopting new AI/LLM tech
Location & work type: Remote/work-from-home arrangement (may vary by team); Binance is globally distributed.
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 300 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.
AI / LLM application quality assurance Design and execute end-to-end testing strategies for LLM-based consumer products (functionality, data, model behavior) Verify the correctness, consistency, stability, and safety of LLM outputs Regression testing and risk assessment for model updates / prompt iterations / data changes Automation and tooling capabilities Design and develop automated testing and QA tools to improve testing efficiency and coverage Use or introduce AI technologies (such as LLM) to enhance test design, defect analysis, and test case generation capabilities
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.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.