AI QA Automation Engineer at PeopleStrong

By: Ganesh Thik

On: May 3, 2026

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AI QA Automation Engineer at PeopleStrong

PeopleStrong  ·  Gurugram  ·  Posted today

Company
PeopleStrong
Location
Gurugram
Experience
3 years
Education
Bachelor’s degree in Computer Science or related field

About this role

PeopleStrong is seeking an experienced AI QA Automation Engineer to ensure quality and reliability of AI-powered applications. The ideal candidate will have 3+ years of automation testing experience with proven expertise in AI applications including RAG systems and AI Agents. You will design and execute comprehensive test strategies, develop automation frameworks, and validate AI model performance using industry-standard evaluation tools.

Skills required

PythonPyTestPlaywrightSeleniumAI/ML TestingRAG SystemsAI AgentsAPI TestingAI Evaluation Frameworks

Key responsibilities

Design and develop automated test cases for AI-powered applications using Python and PyTest

Implement and maintain test automation frameworks using Playwright and Selenium

Evaluate AI model outputs using specialized AI evaluation frameworks and metrics

Conduct API testing and integration testing for AI-driven features

Collaborate with development and product teams to identify and document quality issues

About PeopleStrong

PeopleStrong is a leading HR technology and people operations platform that leverages AI and automation to transform workplace management. The company is committed to building innovative solutions that enhance employee experience and organizational efficiency. They foster a collaborative culture focused on continuous learning and technological excellence.

Why you should apply

Work on cutting-edge AI applications including RAG systems and AI Agents at scale

Opportunity to specialize in AI/ML QA, a high-demand skill set with excellent career prospects

Join a forward-thinking HR tech company that values innovation and employee growth

Interview preparation tips

1

Prepare detailed examples of 2+ AI/ML projects you’ve tested, specifically RAG and AI Agent implementations

2

Be ready to discuss your PyTest framework architecture and how you’ve scaled it for complex AI applications

3

Demonstrate knowledge of AI evaluation metrics and how you’ve validated AI model outputs in production

4

Discuss your experience with API testing tools and how you’ve tested AI service integrations

Career growth path

This role offers excellent growth opportunities in the rapidly expanding AI/ML testing domain. You can advance to Senior QA Engineer, QA Lead, or transition into AI/ML Engineering roles. PeopleStrong’s focus on AI innovation provides exposure to cutting-edge technologies and career development in emerging areas of quality assurance.

Ready to apply?

Keep your updated resume, transcripts, and cover letter ready before you start the application.

Apply via Email: somya.maheshwari@peoplestrong.com

Check the official careers page for deadline and instructions

Frequently asked questions

Q: What is RAG and why is it important for this role?
A: RAG (Retrieval-Augmented Generation) combines information retrieval with AI generation. Testing RAG systems requires validating both retrieval accuracy and generation quality, making it critical for AI QA engineers.
Q: Do I need machine learning knowledge for this position?
A: While ML knowledge is beneficial, the role focuses on testing and quality assurance. Strong automation testing skills and understanding of AI evaluation frameworks are more critical than building ML models.
Q: What’s the difference between testing AI applications vs traditional software?
A: AI testing requires validating non-deterministic outputs, model accuracy, edge cases, and bias. Traditional testing focuses on deterministic behavior. This role requires expertise in both approaches.

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Disclaimer: Job details are sourced from public postings. Please verify all information on the official company website before applying.

Ganesh Thik

Ganesh Thik is a Software Engineer with 10 years of IT experience, dedicated to helping job seekers. He shares referral job openings, tech news, and career tips. Stay updated with the latest opportunities and industry insights!

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