We are looking for a Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting, with exposure to Conversational AI and Agentic AI systems. The ideal candidate will have a strong understanding of standard testing practices and be passionate about ensuring the highest quality standards in AI-driven applications. This role involves validating conversational experiences, AI-powered workflows, autonomous agent behaviors, integrations with external tools and APIs, and ensuring the reliability, safety, and performance of AI systems in production environments.
Responsibilities- Develop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications.
- Collaborate with product managers, developers, business analysts, and other stakeholders to ensure quality standards are met throughout the development lifecycle.
- Perform functional, regression, integration, and end-to-end testing across conversational AI platforms and agent-based AI systems.
- Validate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources.
- Test LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality.
- Evaluate agent orchestration capabilities, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization.
- Identify, document, and track defects using JIRA and provide detailed reports on testing results.
- Analyze requirements and design comprehensive test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge-case scenarios.
- Conduct prompt, response, and workflow validation to ensure optimal performance and user experience.
- Perform security, privacy, bias, and responsible AI testing to validate compliance with organizational and regulatory standards.
- Generate test reports, dashboards, and quality metrics for stakeholders, ensuring clear and actionable insights.
- Contribute to the continuous improvement of AI testing processes, frameworks, methodologies, and automation capabilities.
- 3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies.
- Strong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques.
- Experience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications.
- Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures.
- Experience with JIRA for defect tracking and project management.
- Strong proficiency in Excel for data analysis, reporting, and test metrics.
- Familiarity with API testing tools such as Postman, Swagger, or equivalent.
- Experience in functional, integration, performance, security, and user acceptance testing.
- Understanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks.
- Ability to work effectively in cross-functional teams and adapt to fast-paced environments.
- Strong analytical, troubleshooting, and problem-solving skills.
Skills Required
- 3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies
- Strong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques
- Experience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications
- Understanding of Large Language Models, Retrieval-Augmented Generation, prompt engineering concepts, and AI agent architectures
- Experience with JIRA for defect tracking and project management
- Strong proficiency in Excel for data analysis, reporting, and test metrics
- Familiarity with API testing tools such as Postman, Swagger, or equivalent
- Experience in functional, integration, performance, security, and user acceptance testing
- Understanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks
- Ability to work effectively in cross-functional teams and adapt to fast-paced environments
- Strong analytical, troubleshooting, and problem-solving skills
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
