QA Engineer – AI Maintenance

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 60,000 - 80,000; Part time

Job summary

RiDiK, a subsidiary of CLPS, seeks a QA Engineer on a 1-year contract to maintain and improve the quality, reliability, and stability of our Group Ops AI services. You will focus on ensuring robust testing during model upgrades, technology upgrades, platform enhancements, and production releases.

The ideal candidate has strong knowledge of API testing (Postman, Swagger), SQL data validation, and test automation with Python, Selenium or Playwright, plus an understanding of CI/CD and DevOps

Qualifications

• Strong understanding of software testing methodologies and SDLC/STLC.
• Experience with API testing tools like Postman or Swagger.
• Familiarity with SQL and data validation techniques.
• Knowledge of test automation frameworks and scripting languages (e.g., Python, Selenium, Playwright).
• Understanding of CI/CD pipelines and DevOps practices.
• Familiarity with AI/ML or GenAI concepts, model testing, and prompt validation.
• Exposure to monitoring, logging, and observability tools is a plus.

Responsibilities

• Maintain and improve the quality, reliability, and stability of AI-powered applications during upgrades and releases.

Skills

Testing methodologies

API testing

SQL data validation

Test automation

CI/CD DevOps

AI/ML testing

Monitoring/Observability

Tools

Postman

Swagger

Selenium

Playwright

Job description

Job Type- Contract (1 year with extension)

Years of Experience- 4-7

We are seeking a highly motivated QA Engineer to support the maintenance and continuous improvement of our Group Ops AI services. The role will focus on ensuring the quality, reliability, and stability of AI-powered applications during ongoing model upgrades, technology upgrades, platform enhancements, and production releases.

Experience in banking, financial services, or operations environments is advantageous.

Technical Skills

• Strong understanding of software testing methodologies and SDLC/STLC processes.
• Experience with API testing tools such as Postman, Swagger, or equivalent.
• Familiarity with SQL and data validation techniques.
• Knowledge of test automation frameworks and scripting languages (e.g., Python, Selenium, Playwright).
• Understanding of CI/CD pipelines and DevOps practices.
• Familiarity with AI/ML or GenAI concepts, model testing, and prompt validation.
• Exposure to monitoring, logging, and observability tools is a plus.