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PWC • Gurugram, Haryana, India
Role & seniority: Senior Associate, AI Quality & Performance Test Engineer
Stack/tools: Python (Pytest/Robot Framework); API testing (REST, GraphQL); RAG testing tools (RAGA, DeepEval, LLM-as-a-Judge); AI-driven test generation (GPT-4 Omni); chatbot/NLP testing (flow-based, contextual); performance/load testing (Locust, Grafana, K6); CI/CD (Jenkins, GitHub Actions, GitLab CI); reporting (Allure, pytest-html, Grafana); data formats (doc, pdf, xml, jpg, excel)
Design and implement automated test frameworks for AI/chatbot applications
Conduct API, RAG, fairness, and end-to-end workflow testing; validate contextual continuity and error handling
Integrate automated test suites into CI/CD; generate structured quality, performance, and fairness dashboards/reports
Must-have skills: Strong Python QA automation (Pytest/Robot Framework); mobile testing; API testing (REST/GraphQL) with Postman/Pytest/Rest Assured; RAG testing tools; GPT-4 Omni for automated Q&A generation; performance testing (Locust, K6); test reporting (Allure, pytest-html); AI evaluation metrics (quantitative/qualitative/business); chatbot/NLP flow-based testing; bias/fairness validation with embedding models; debugging and log analysis
Nice-to-haves: Experience with Generative AI evaluation frameworks; CI/CD automation in AI testing; data privacy practices in test data handling; domain knowledge in citizen services, banking, or telecom
Location & work type: Location
Line of Service Advisory Industry/Sector Not Applicable Specialism Emerging Technologies Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT). Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking a highly skilled AI Quality & Performance Test Engineer to design, implement, and execute test strategies for AI-powered chatbot and Generative AI solutions. This role is a unique blend of QA Automation, API Testing, Performance Engineering, and Ethical AI Testing, with strong focus on RAG evaluation, automated test generation, fairness testing, and flow-based conversational validation. Responsibilities: Design and implement automated test frameworks (Python, Pytest/Robot Framework) for chatbot and AI applications. Conduct API testing for chatbot backends, RAG pipelines, and third-party integrations (REST/GraphQL). Validate chatbot workflows including flow-based conversations, contextual continuity, fallback handling, and error reporting for end-to-end customer scenarios. Implement RAG testing using RAGA, DeepEval, and LLM-as-a-Judge to evaluate retrieval accuracy and hallucination risks. Build an AI-driven Testcase Generator (using GPT-4 Omni) to process enterprise documents (doc, pdf, xml, jpg, excel) and auto-generate Q&A test datasets. Define and track comprehensive AI evaluation metrics: Quantitative Metrics → Accuracy, Latency, Throughput. Qualitative Metrics → Answer Relevancy, Faithfulness, Hallucination, Contextual Relevancy. Business Metrics → Customer feedback (thumbs up & thumbs down), resolution rate, Racial Bias and Diversity (using embedding models to detect bias/fairness issues). Conduct performance, load, and stress testing using Locust, Grafana, and K6 ensuring scalability under peak citizen traffic. Ensure ethical AI compliance by testing fairness, inclusivity, transparency, and privacy. Integrate automated test suites into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Collaborate with AI/ML engineers, developers, and stakeholders to ensure responsible AI deployment. Generate structured reports/dashboards (Allure, pytest-html, Grafana) capturing quality, performance, and ethical AI insights. Mandatory skill sets: Strong experience in QA Automation with Python (Pytest, Robot Framework). Handson knowledge in Mobile testing. Expertise in API testing (REST, GraphQL) with tools like Postman, Pytest, or Rest Assured. Hands-on with RAG testing tools (RAGA, DeepEval, LLM-as-a-Judge). Proficiency in automated Q&A generation using GPT-based models (GPT-4 Omni). Strong knowledge of performance/load testing tools (Locust, Grafana, K6). Familiarity with AI evaluation metrics (Quantitative, Qualitative, Business). Experience in chatbot/NLP testing (flow-based conversations, contextual relevance). Knowledge of bias/fairness validation using embedding models for diversity/racial bias detection. Strong debugging, log analysis, and test reporting skills. Preferred skill sets: Exposure to Generative AI evaluation frameworks for hallucination and relevance scoring. Experience with CI/CD automation in AI testing workflows. Awareness of data privacy best practices in test data handling. Domain knowledge in citizen services, banking, or telecom. Years of experience required: 4 to 6 years of relevant job experience Education qualification: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience. Minimum of 4 years of professional experience in Java development. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.