AI QA Automation Solution Engineer Intern

Pre- Sales & Solution Support (QA- Focused)
- Support Solution Architects in analyzing client quality challenges, test automation needs, and non- functional requirements.

- Help showcase how AI can improve test coverage, test generation, defect detection, and maintenance cost reduction.

- Assist in preparing technical solution proposals, demos, and PoCs focused on automation QA and AI- assisted testing.

AI- Driven Automation QA Development- Design and implement test automation frameworks (UI, API, and integration tests) using modern tools.

- Apply AI/LLM capabilities to QA use cases such as:

- AI- assisted defect analysis and test optimization

- Automated test case generation from requirements or user stories

- Intelligent test script creation and self- healing tests

- Collaborate with senior engineers to integrate AI- powered QA solutions into CI/CD pipelines.

- Test data generation using LLMs

Tooling, Integration & Cloud Enablement- Work with automation tools such as Playwright, Selenium, Cypress, or similar frameworks.

- Assist in deploying QA automation and AI services on cloud platforms (Azure preferred).

- Support integration of QA tools with enterprise systems (Jira, Test Management tools, CI/CD systems).

- Integrate automation tests with DevOps pipelines (Azure DevOps, GitHub Actions, Jenkins).

Collaboration & Continuous Learning- Collaborate with developers, QA engineers, AI engineers, and pre- sales teams in agile environments.

- Clearly communicate technical ideas, PoC results, and solution value in English.

- Continuously explore new AI trends in software testing and quality engineering and propose improvements.

Must- Have- Final- year student or recent graduate in Computer Science, Software Engineering, AI, or related fields.
- Good English communication skills (written and verbal).
- Basic experience or strong interest in test automation frameworks (Playwright, Selenium, Cypress, etc.).
- Hands- on programming skills in Python and/or JavaScript/TypeScript.
- Solid foundation in software testing concepts (functional testing, regression, automation basics).
- Proactive learner, self- driven, and comfortable working in a fast- paced environment.
- Strong analytical mindset with the ability to translate business and quality problems into technical solutions.
- Understanding of AI/LLMs and their application in software engineering (e.g., OpenAI APIs, prompt engineering).
Nice- to- Have- Experience with AI- assisted testing, test generation, or QA automation PoCs.
- Basic understanding of MLOps or AI lifecycle management.
- Knowledge of CI/CD pipelines, DevOps practices, or test reporting tools (Allure, ReportPortal).
- Exposure to cloud platforms (Azure, AWS, or GCP).
- Familiarity with LangChain, OpenAI, Hugging Face, or similar LLM tooling.

Training sponsorship (e.g., Udemy and technical courses)
Probation salary after training: Negotiable based on performance
Exposure to the latest AI, automation, and DevOps technologies
Team- building activities, summer vacation, birthday events, and more
Clear career path toward Automation QA Engineer / AI Solution Engineer roles
Opportunity to work with real enterprise clients and pre- sales scenarios
Potential onsite opportunities in Japan, Singapore, Australia
Allowance: Up to 4,000,000 VND/month (Training contract: 2 months)
Young, dynamic, and professional working environment

Cập nhật gần nhất lúc: 2026-02-03 19:00:03