YesMadam is hiring an AI QA Engineer for its Quality Assurance team in Sector 63, Noida. This is a Work From Office opportunity for professionals with 4–6 years of QA and automation experience, including at least 1 year of hands-on experience testing AI/LLM or Generative AI applications.
🏢 About YesMadam
YesMadam is an Indian technology-enabled beauty and wellness platform that connects customers with professional salon and wellness services. The company says it launched in 2016 and currently operates across 50+ cities in India. Its corporate office is in Noida, where teams work in-office and collaborate across functions.
The company describes itself as a tech-driven platform with a large customer and professional network. Its LinkedIn profile currently highlights 12M+ customers, 10,000+ beauty professionals and presence across 55+ cities, while focusing on technology-led consumer experiences.
💼 AI QA Engineer – Job Details
- Company: YesMadam
- Role: AI QA Engineer
- Department: Quality Assurance
- Experience: 4–6 Years
- AI Experience: 1+ year in AI/LLM/Generative AI testing
- Location: Sector 63, Noida
- Work Mode: Work From Office
- Core Testing: AI/LLM, GenAI, Web, Mobile, APIs & Backend
- Automation: Playwright / Selenium / Cypress
- Languages: Python / Java / JavaScript
- Database: SQL & Database Testing
- DevOps: Git & CI/CD
- Good to Have: RAG, AI Chatbots, DeepEval, Ragas, Promptfoo, LangSmith, Performance Testing
⭐ Why This Role Is Excellent for Your Experience
The biggest advantage is the opportunity to combine traditional SDET skills with emerging AI Quality Engineering. Instead of only validating whether an application produces the expected output, you will evaluate whether AI responses are accurate, relevant, consistent and free from unacceptable hallucinations.
You will also work on prompt testing, AI-specific edge cases, automated evaluation and backend/API validation. This can significantly strengthen your profile for future positions such as AI QA Engineer, AI Test Engineer, SDET, GenAI Quality Engineer or AI Quality Engineering Lead.
🧠 Skills Required
Candidates should prioritize:
- AI/LLM and Generative AI testing
- Prompt engineering and prompt testing
- Hallucination detection and response evaluation
- AI evaluation methodologies and test datasets
- RAG application testing
- AI chatbot testing
- Playwright, Selenium or Cypress
- Python, Java or JavaScript
- REST API and backend testing
- SQL and database validation
- Functional, regression and integration testing
- Automation framework design
- Git and CI/CD pipelines
- Defect analysis and root-cause investigation
- Performance and reliability testing
- Understanding of LLM limitations, context handling and non-deterministic outputs
🎯 Expected YesMadam Interview Rounds
For this particular AI QA position, candidates should realistically prepare for:
- Round 1 – HR/Recruiter: Experience, availability, communication, WFO preference and role understanding.
- Round 2 – QA Technical: Functional testing, test-case design, regression, API testing, SQL and automation framework questions.
- Round 3 – Automation + AI QA: Playwright/Selenium/Cypress, coding, API automation, prompt testing, hallucination detection, LLM evaluation and AI edge cases.
- Round 4 – Project/Managerial: Deep discussion of previous projects, automation ownership, AI testing challenges, collaboration and problem-solving.
💰 Salary Range
YesMadam does not publicly disclose compensation for this exact AI QA Engineer vacancy. Current Noida QA salary data shows significant variation by company and experience; recent Glassdoor entries include ₹6–₹10 LPA examples for QA Engineers with 4–6 years, while individual Noida QA compensation can be considerably higher.
Considering the role’s 4–6 year requirement plus 1+ year of AI/LLM testing, an indicative expectation would be around ₹10–18 LPA, with candidates possessing strong GenAI evaluation, automation-framework and API/backend expertise potentially negotiating toward the upper end. This is a market estimate, not an official YesMadam salary range.
📚 Preparation Tips
1. Practice AI test scenarios: Test the same prompt multiple times and identify inconsistency, hallucination, irrelevant answers and missing context.
2. Learn LLM evaluation: Understand correctness, relevance, groundedness, faithfulness, toxicity, bias and response consistency.
3. Prepare a RAG testing strategy: Know how you would test retrieval quality, incorrect documents, missing context, irrelevant chunks and hallucinated answers.
4. Build an AI automation mini-project: Create automated tests for an AI chatbot using Python/JavaScript and validate responses against predefined evaluation criteria.
5. Revise Playwright deeply: Prepare locators, waits, fixtures, Page Object Model, parallel execution, screenshots, traces and CI execution.
6. Strengthen API + SQL: Be ready to validate API status codes, headers, payloads, authentication, database records and backend consistency.
7. Understand evaluation tools: Learn the purpose of DeepEval, Ragas, Promptfoo and LangSmith, even if you haven’t used all of them professionally.
8. Prepare AI-specific edge cases: Prompt injection, ambiguous prompts, long context, contradictory instructions, empty inputs, sensitive information and unexpected model responses.
📄 Resume Tips for This Role
Your resume should position you as an AI-focused SDET, not simply a conventional QA Engineer. Put AI/LLM Testing, Generative AI, Prompt Testing, Hallucination Detection, Automation Frameworks, API Testing, Playwright/Selenium/Cypress, Python/Java/JavaScript, SQL and CI/CD near the top.
Use measurable statements such as:
- “Designed automated regression framework using Playwright, reducing repetitive validation effort by X%.”
- “Developed test scenarios for LLM applications covering hallucination, relevance, consistency and edge-case responses.”
- “Automated REST API validation and database verification using Python and SQL.”
- “Integrated automated test suites into CI/CD pipelines for continuous quality validation.”
If you have worked with RAG, chatbots, DeepEval, Ragas, Promptfoo or LangSmith, create a dedicated AI Testing subsection so recruiters immediately notice it.
🚀 How to Apply
👉 Application Link: Click Here
You can also monitor the company’s current openings and verify the AI QA Engineer – Noida opportunity before submitting your application.
👉 Official YesMadam Website: YesMadam Official Website
🔥 Final Takeaway
This is a strong opportunity for experienced QA professionals who want to enter the rapidly growing field of AI Quality Engineering. The combination of LLM/GenAI testing + automation + API/backend testing + SQL + CI/CD makes this role considerably broader than a conventional automation position.
If you have 4–6 years of automation experience and at least 1 year of practical AI/LLM testing, focus your preparation on demonstrating that you can test not only whether an application works, but whether an AI-powered application produces trustworthy, relevant, consistent and production-ready results. 🤖🚀
