About The Role

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.

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.