Urgent

Senior/Principal QA QC Engineer (AI, Manual & Auto)

QA/QC Engineering AI/Artificial Intelligence QA Azure API

Icon salary Salary
Negotiable
Icon Location Location
Ho Chi Minh

Benefits

Full social insurance Full social insurance
Flexible working time Flexible working time
Travel/company trips Travel/company trips
Laptop/desktop for works Laptop/desktop for works
Performance bonus Performance bonus
Free lunch and Snacks Free lunch and Snacks
Extra health insurance Extra health insurance
13th month salary 13th month salary
Yearly salary review Yearly salary review
Other benefits Other benefits

Job Overview And Responsibility

We are looking for a Senior QA/QC Engineer to ensure the quality and reliability of our AI-driven platform and applications. The ideal candidate has strong analytical skills, practical experience with both manual and automated testing, and thrives in cross-functional teams. You’ll collaborate closely with backend, frontend, and AI engineers to build products that serve millions of users with confidence and consistency. Responsibilities - Support evaluation and validation of AI-generated outputs (e.g., LLMs), including prompt testing, edge case exploration, and consistency checking - Work with AI and product teams to define metrics for subjective quality (e.g., helpfulness, accuracy, coherence) and build repeatable QA processes for them - Analyze product requirements, clarify ambiguities, and provide test impact assessments - Design comprehensive test cases based on deep understanding of business logic and technical architecture - Execute test activities across the development lifecycle, including exploratory, functional, regression, and integration testing - Create and maintain automated test scripts for web and API testing - Collaborate with developers and product owners as part of an agile team to ensure high product quality - Identify, track, and report defects clearly and systematically - Continuously improve test coverage, testing practices, and QA processes - Mentor junior QA engineers and contribute to knowledge sharing across teams

Required Skills and Experience

- 5+ years of experience in software testing for web and/or mobile applications - Candidates MUST HAVE experience testing for AI/ML projects (at least 1-2 projects) - Solid understanding of QA methodologies, testing types, and best practices - Hands-on experience with: (1) Programming or scripting languages (e.g., JavaScript, Python, Shell) (2) Writing and executing test cases (3) Automation testing using tools or frameworks (e.g., Selenium, Playwright, Cypress, etc.) (4) API testing using Postman or similar tools (5) Issue and test case management tools (e.g., Jira, TestRail, Zephyr) - Familiarity with CI/CD pipelines and how QA fits into the release process - Ability to read and analyze logs, API responses, and basic frontend/backend code for debugging - Proactive communicator with strong collaboration skills - Experience mentoring junior team members or leading testing initiatives - Strong ownership and commitment to quality - Business-level English

Why Candidate should apply this position

Caring Mental & Physical Recreation: - Hybrid working: 2 days at the office and 3 days WFH - Working hour: Flexible start 8AM-9AM from Mon-Fri - Full salary in probation - Insurance: Applied from Probation period: - Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) - Private health insurance & accident insurance. From Managing level: extra for family members - Bonus: 13th month salary - 16 - 24 paid days off and more - Paternity leave: Extra 5 days - Annual company trip; Quarterly team building - Billiards & Running club - Annual health check - Well-equipped facility: Macbook pro, additional monitor,.. Caring Career & Development: - Clear Career path - Foreign language & International technology-related certifications sponsoring - External & internal training courses - Soft-skill workshops - Tech seminars - Monthly and biannual Recognition Awards - Performance & salary review: twice/year (Jun & Dec)

Preferred skills and experiences

- Experience in evaluating or testing AI/ML-based systems, including LLM outputs, hallucination detection, or user feedback loops - Familiarity with prompt engineering, output evaluation techniques (e.g., rubric-based scoring), or A/B testing for AI features - Experience working in cross-functional teams with developers, designers, and product managers - Exposure to performance, security, or accessibility testing - Familiarity with cloud-based environments (e.g., AWS) - ISTQB or equivalent software testing certification

Report to

Engineering Manager

Interview process

3 rounds: Round 1: Technical interview (90’) Round 2: Culture fit (60’) Round 3: Bar Raiser (Round 1 - Round 2: can be swapped due to project urgency)

Tony Nguyen

Headhunter | Recruiter
Verified
employee 5735 candidates
cup 748 interviews
health 51 offers

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Tony Nguyen

Headhunter | Recruiter
Verified
Icon employee 5735 candidates
Icon cup 748 interviews
Icon health 51 offers

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