QA Engineer – AI Maintenance
Clpsglobal • Singapore, Singapore
Salary: $6,000 - $7,000 / year
-
Role & seniority
-
QA Engineer (4–7 years)
-
Contract: 1 year, extendable
-
-
Location & work type
-
Changi Business Park
-
On-site (assumed from location; work type not explicitly stated beyond contract)
-
-
Stack/tools
-
API testing: Postman, Swagger (or equivalent)
-
Testing/automation: Python, Selenium, Playwright; test automation frameworks
-
Data: SQL, data validation
-
Dev/Release: CI/CD, DevOps practices
-
AI/ML/GenAI: AI/ML & GenAI concepts, model testing, prompt validation
-
Observability (nice-to-have): monitoring/logging/observability tools
-
-
Top 3 responsibilities
-
Ensure quality, reliability, and stability of Group Ops AI services during production releases and ongoing upgrades (model/tech/platform).
-
Execute and maintain testing across SDLC/STLC, including API and data validation.
-
Support test automation and contribute to continuous improvement (including AI/prompt/model validation as applicable).
-
-
Must-have skills
-
Solid understanding of software testing methodologies and SDLC/STLC
-
API testing experience (Postman/Swagger or similar)
-
SQL and data validation
-
Test automation framework experience; scripting (Python) and UI/API testing tools (Selenium/Playwright)
-
CI/CD and DevOps awareness
-
AI/ML or GenAI familiarity: model testing and prompt validation
-
-
Nice-to-haves
-
Knowledge of monitoring, logging, and observability tools
-
Experience in banking/financial services/operations enviro
-
Full Description
Job Location- Changi Business Park 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.
