Junior Quality Engineer

ELLIOTT MOSS CONSULTING PTE. LTD.

Singapore

On-site

SGD 45,000 - 65,000

Full time

3 days ago
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Job summary

ELLIOTT MOSS CONSULTING PTE. LTD.

is seeking a Junior Quality Engineer (AI-Enabled) to support manual and automated testing for web, mobile, API, and AI-powered applications in a fast-paced Agile environment. You will design test cases, track defects, and build automation scripts while leveraging AI tools such as ChatGPT, GitHub Copilot, and Claude to boost testing efficiency and ensure robust AI-enabled solutions.

Qualifications

  • Experience in software testing, QA, or test automation (internships or projects acceptable).
  • Understanding of testing fundamentals, SDLC, and defect lifecycle.
  • Basic programming knowledge in Java, Python, JavaScript/TypeScript, or C#.

Responsibilities

  • Design test cases for web, mobile, API, and AI-enabled applications.
  • Track defects and verify fixes in agile sprints.
  • Develop automation scripts and support CI/CD testing.
  • Leverage AI tools to improve testing efficiency (ChatGPT, Copilot, Claude).
  • Collaborate with cross-functional teams and communicate findings clearly.

Skills

Software testing
QA
Test automation
Agile teamwork
Communication

Tools

Playwright
Selenium
Cypress
Postman
Git
CI/CD tooling

Job description

Job Description
  • We are looking for a Junior Quality Engineer (AI-Enabled) to support manual and automated testing activities for web, mobile, API, and AI-powered applications.
  • The role involves test case design, defect tracking, automation scripting, CI/CD testing, and leveraging AI tools such as ChatGPT, GitHub Copilot, and Claude to improve testing efficiency.
  • Candidates will also gain exposure to testing Generative AI solutions, chatbots, LLM-based applications, and AI guardrails while working in Agile teams.
Key Responsibility :
  • Experience in Software Testing, QA, or Test Automation (internship/project experience acceptable).
  • Understanding of testing fundamentals, SDLC, and defect lifecycle.
  • Basic programming knowledge in Java, Python, JavaScript/TypeScript, or C#.
  • Exposure to automation tools such as Playwright, Selenium, Cypress, or Postman.
  • Basic SQL knowledge. Familiarity with Agile, Git, and CI/CD concepts.
  • Hands-on experience with AI tools such as ChatGPT, Claude, Gemini, or GitHub Copilot.
  • Understanding of LLMs, Prompts, RAG, and Generative AI concepts.
  • Good communication, analytical thinking, and attention to detail.
  • Eagerness to learn and grow in AI-enabled software quality engineering.
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