Qa Engineer (AI & Automation)

Advancesoft India Hyderabad

Hyderabad

On-site

INR 900,000 - 1,200,000

Full time

14 days+

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Job summary

Advancesoft India Hyderabad is seeking a QA Engineer AI & Automation in Bangalore to drive quality for our AI-powered Agent Platform. You will build AI evaluation frameworks, automate tests and ensure robust release quality for voice and chat experiences.

Ideal candidates have 4+ years of QA/Automation, strong Playwright and API testing skills, and experience with AI/LLM testing, evals and regression testing across AI products.

Qualifications

  • 4+ years of QA/Automation experience.
  • Experience with AI/LLM testing and evaluation.
  • Proficiency with Playwright and API testing.
  • Validation of AI responses, bias and user experience.

Responsibilities

  • Build and maintain AI evaluation frameworks and automated test suites.
  • Validate AI-powered voice and chat experiences.
  • Drive release quality, regression testing and automation initiatives.
  • Collaborate with Product, Engineering and AI teams.

Skills

QA Automation
Playwright
API Testing
End-to-End Testing
AI/LLM Testing
ChatGPT Enterprise
GitHub Copilot
Codex
AI testing tools

Tools

Playwright
Rest Assured
GitHub Copilot
Codex

Job description

Hiring: QA Engineer AI & Automation | Bangalore

Location: Bangalore

Experience: 4+ Years

Notice Period: Immediate to 15 Days

CTC: Best in Industry

We are looking for a QA Engineer AI & Automation to drive quality assurance for our AI-powered Agent Platform.

Key Skills:
  • QA Automation amp; Quality Engineering
  • Playwright amp; Rest Assured
  • API & End-to-End Testing
  • AI/LLM Testing, Evals & Regression Testing
  • Validation of AI responses, hallucinations, bias & user experience
  • Experience with
  • ChatGPT Enterprise,
  • GitHub Copilot,
  • Codex, and
  • AI-assisted testing tools
What Youll Do:
  • Build and maintain AI evaluation frameworks and automated test suites.
  • Validate AI-powered voice and chat experiences.
  • Drive release quality, regression testing, and automation initiatives.
  • Work closely with Product, Engineering, and AI teams.
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