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Artificial Intelligence is transforming the software industry, and with it comes a new generation of Quality Engineering roles. If you’re an experienced QA professional looking to transition into AI Testing and GenAI Quality Engineering, this opportunity at QualityKiosk Technologies could be your next career milestone.

QualityKiosk is hiring AI QA Engineers with 3–6 years of experience to work on cutting-edge Generative AI applications, AI agents, copilots, chatbots, and Retrieval-Augmented Generation (RAG) workflows. This role is ideal for professionals who enjoy solving complex quality challenges and ensuring AI-powered applications are reliable, secure, and trustworthy.

As an AI QA Engineer, you’ll validate GenAI systems, evaluate AI responses, detect hallucinations, test prompt engineering scenarios, and work with modern AI observability platforms. With AI becoming an integral part of enterprise software, professionals skilled in AI Quality Engineering are among the most sought-after talents in today’s technology market.

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📌 Job Overview

🏢 Company: QualityKiosk Technologies
💼 Position: AI QA Engineer
📍 Location: Navi Mumbai / Bangalore
🏢 Work Mode: As per company policy
👨‍💻 Experience: 3–6 Years
⚡ Preferred Candidates: Immediate Joiners

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🏢 About QualityKiosk

QualityKiosk Technologies is one of India’s leading digital quality assurance and engineering companies, providing software testing, performance engineering, cybersecurity, digital transformation, and AI quality services to enterprises worldwide.

Founded in 2000, QualityKiosk has worked with clients across Banking, Financial Services, Insurance, Telecom, Retail, Healthcare, Government, Manufacturing, and Digital Commerce. The company focuses on delivering high-quality digital experiences through intelligent testing solutions, automation frameworks, AI-powered testing, performance engineering, and observability platforms.

With the rapid adoption of Generative AI, QualityKiosk is expanding its AI Quality Engineering practice to help enterprises deploy reliable, secure, and responsible AI applications.

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🌟 Why This Role is Good for Experienced Professionals

AI Quality Engineering is one of the fastest-growing career paths in software testing. This role provides an opportunity to move beyond traditional automation testing and work on next-generation AI applications.

Key benefits include:

✨ Work on cutting-edge Generative AI projects.
✨ Gain hands-on experience with AI agents and copilots.
✨ Exposure to RAG (Retrieval-Augmented Generation) systems.
✨ Learn AI observability and evaluation platforms.
✨ Work with enterprise-scale AI solutions.
✨ Opportunity to specialize in AI testing—a rapidly growing domain.
✨ Strong long-term career growth in AI Quality Engineering.
✨ Collaborate with AI engineers, data scientists, and solution architects.
✨ Build expertise in responsible AI and AI governance.

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💼 Roles & Responsibilities

As an AI QA Engineer, your responsibilities may include:

• Validate AI-powered applications and enterprise GenAI solutions.
• Test chatbots, AI agents, copilots, and conversational AI platforms.
• Perform prompt-based testing for different business scenarios.
• Execute multi-turn conversation testing.
• Validate Retrieval-Augmented Generation (RAG) workflows.
• Detect hallucinations and grounding failures.
• Perform adversarial testing to identify AI vulnerabilities.
• Verify AI safety, reliability, and response quality.
• Monitor AI application behavior using observability platforms.
• Collaborate with developers and AI engineers to improve model performance.
• Document AI quality metrics and testing reports.
• Ensure enterprise AI applications meet quality standards.

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🛠 Skills Required

Mandatory Skills

• AI Testing
• Generative AI Testing
• Chatbot Testing
• AI Agent Testing
• Copilot Testing
• RAG Workflows
• Prompt Engineering Testing
• Multi-turn Conversation Testing
• Hallucination Detection
• Grounding Validation
• AI Reliability Testing
• AI Safety Testing

AI Evaluation & Observability Tools

• Arize
• Giskard
• Fiddler
• WhyLabs
• Phoenix
• Similar AI Monitoring Platforms

Soft Skills

• Analytical Thinking
• Problem Solving
• Communication Skills
• Critical Thinking
• Collaboration
• Attention to Detail

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💰 Expected Salary Range

QualityKiosk has not officially disclosed the salary package.

Based on current industry trends:

Experience	Expected Salary
3 Years	₹10 – ₹14 LPA
4 Years	₹12 – ₹16 LPA
5 Years	₹15 – ₹20 LPA
6 Years	₹18 – ₹24 LPA

The final compensation depends on your AI testing expertise, current CTC, technical skills, and interview performance.

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📝 Expected Interview Rounds

The recruitment process may include the following stages:

Round 1 – Resume Screening

• AI Testing Experience
• QA Automation Background
• Notice Period
• Project Relevance

Round 2 – Technical Interview

Topics may include:

• Generative AI Fundamentals
• Prompt Engineering
• AI Testing Strategies
• Hallucination Detection
• RAG Architecture
• AI Evaluation Techniques
• Chatbot Testing
• API Testing
• Automation Concepts
• Quality Metrics

Round 3 – Practical Discussion

• Previous AI projects
• Testing strategy
• Bug identification
• AI quality scenarios
• Prompt testing examples

Round 4 – Managerial / HR Round

• Communication
• Current CTC
• Expected CTC
• Notice Period
• Project availability

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📚 Preparation Tips

To improve your chances of selection:

• Learn Generative AI concepts thoroughly.
• Understand how Large Language Models (LLMs) work.
• Practice prompt engineering.
• Learn RAG architecture basics.
• Study hallucination detection techniques.
• Understand AI safety and responsible AI concepts.
• Learn observability platforms like Arize and Giskard.
• Practice testing chatbot conversations.
• Prepare examples from your QA automation experience.
• Be ready to explain AI testing approaches using real-world scenarios.

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📄 Resume Tips

An ATS-friendly resume can significantly increase your chances of getting shortlisted.

Include:

• Professional Summary
• AI Testing Experience (if available)
• QA Automation Experience
• API Testing
• Prompt Engineering Exposure
• Automation Framework Experience
• Technical Skills
• Certifications
• Project Highlights
• Key Achievements

Use ATS keywords such as:

• AI QA Engineer
• Generative AI Testing
• Chatbot Testing
• Prompt Engineering
• AI Observability
• RAG
• AI Evaluation
• Hallucination Testing
• Quality Engineering
• Automation Testing
• AI Agents
• Copilot Testing

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📩 How to Apply

Interested candidates should share their updated resume via email.

📧 Email: tanvi.palwankar@qualitykiosk.com

While sending your application:

• Mention “Application for AI QA Engineer” in the email subject.
• Attach your updated ATS-friendly resume.
• Highlight your experience in AI Testing, Automation Testing, or GenAI projects.
• Mention your Current CTC, Expected CTC, Notice Period, and Preferred Location for faster processing.

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🚀 Final Thoughts

The AI QA Engineer role at QualityKiosk Technologies is an excellent opportunity for experienced QA professionals looking to transition into the rapidly evolving field of Artificial Intelligence Quality Engineering. With exposure to Generative AI, AI agents, chatbots, RAG workflows, AI observability platforms, prompt engineering, and responsible AI testing, this position offers a chance to work on some of the most advanced technologies shaping the future of software development. As organizations increasingly adopt AI-powered solutions, professionals with expertise in AI testing and quality assurance will be in exceptionally high demand. If you have 3–6 years of QA experience and are passionate about AI-driven innovation, this role can be a significant step forward in your career.

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