AI Software Test Engineer
Monthly Salary:
Not provided by the employer
Experience Required:
5years
Posted:
15 September 2026 (18 hours ago)
Application Deadline:
13 December 2026
Vacancies:
1 Vacancy
Job Summary
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To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.
1. Role Overview:
Responsible for ensuring the quality accuracy reliability safety and performance of AI systems through data model functional security and automation testing.
Design and execute manual and automated tests evaluate AI outputs and contribute to continuous QA process improvement.
2. Key Responsibilities:
- Analyze requirements specifications and business documents to develop test plans for AI systems.
- Design test cases and test data and execute AI testing activities.
- Perform data testing functional testing model evaluation security and safety testing.
- Conduct Smoke Sanity Regression and System Testing.
- Develop and maintain automated test scripts/frameworks for AI testing.
- Evaluate AI-specific quality aspects including hallucination bias & fairness and model accuracy.
- Prepare test reports and communicate testing results to relevant stakeholders.
- Collaborate with Developers BAs POs and DevOps to investigate and resolve defects.
- Support quality assessment during critical phases and before product release.
- Identify opportunities to improve testing processes automation and QA effectiveness.
Requirements
3. Requirements
- Bachelors/College degree in Computer Science Information Technology Software Engineering Information Systems or a related field.
- At least 2 years of software testing experience.
- Solid understanding of SDLC STLC and software testing methodologies.
- Knowledge of data testing information security and security testing.
- Basic understanding of AI/ML/LLM AI development lifecycle Prompt Engineering and LLM behavior.
- Understanding of AI testing concepts such as Model Evaluation Hallucination Detection Bias & Fairness.
- Experience with Automation Testing and programming is preferred.
- Experience with AI evaluation tools such as DeepEval or RAGAS is a plus.
- Knowledge of API Testing SQL Performance Testing and Jira is an advantage.
- Strong analytical problem-solving and debugging skills.
- Detail-oriented responsible proactive and quality-focused.
- Good communication and collaboration skills; able to work independently and as part of a team.
- Willingness to learn new AI technologies and testing methodologies.
Required Skills:
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