Quality Assurance (QA) Engineer – Conversational AI & Agentic AI

Job Overview

We are looking for a Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting, specifically within the field of 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.

Key Responsibilities

1. Develop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications.
2. Collaborate with product managers, developers, data scientists, prompt engineers, and other stakeholders to ensure quality standards are met throughout the development lifecycle.
3. Perform functional, regression, integration, performance, and end-to-end testing across conversational AI platforms and agent-based AI systems.
4. Validate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources.
5. Test LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality.
6. Evaluate agent orchestration capabilities, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization.
7. Identify, document, and track defects using JIRA and provide detailed reports on testing results.
8. Analyze requirements and design comprehensive test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge-case scenarios.
9. Conduct prompt, response, and workflow validation to ensure optimal performance and user experience.
10. Perform security, privacy, bias, and responsible AI testing to validate compliance with organizational and regulatory standards.
11. Generate test reports, dashboards, and quality metrics for stakeholders, ensuring clear and actionable insights.
12. Contribute to the continuous improvement of AI testing processes, frameworks, methodologies, and automation capabilities.

Required Qualifications

1. 3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies.
2. Strong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques.
3. Experience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications.
4. Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures.
5. Experience with JIRA for defect tracking and project management.
6. Strong proficiency in Excel for data analysis, reporting, and test metrics.
7. Familiarity with API testing tools such as Postman, Swagger, or equivalent.
8. Experience in functional, integration, performance, security, and user acceptance testing.
9. Understanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks.
10. Ability to work effectively in cross-functional teams and adapt to fast-paced environments.
11. Strong analytical, troubleshooting, and problem-solving skills.

Desired Qualifications

1. Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar platforms.
2. Experience with automated testing tools and scripting languages (Python, JavaScript, etc.).
3. Exposure to NLP, NLU, LLM evaluation, prompt testing, and AI model validation.
4. Knowledge of cloud AI platforms such as Google CCAI/Dialogflow, Azure AI, AWS Bedrock, Amazon Lex, or OpenAI-based solutions.
5. Familiarity with version control systems (Git, GitHub, Azure DevOps).
6. Experience developing AI test automation frameworks and evaluation pipelines.
7. Understanding of Responsible AI principles, AI governance, model monitoring, and risk assessment.

Personal Attributes

1. Attention to detail and a commitment to delivering high-quality work.
2. Strong communication and stakeholder management skills, both written and verbal.
3. Self-motivated with a passion for AI innovation, quality engineering,



and continuous improvement.
4. Ability to manage multiple priorities in a dynamic, fast-paced environment.
5. Curiosity to explore emerging AI technologies and evaluate complex AI agent behaviors.
6. Strong critical thinking skills with the ability to identify risks, edge cases, and quality gaps in AI systems.

Preferred Experience Areas

- Conversational AI Testing (Chatbots, Voicebots, Virtual Assistants)
- Generative AI & LLM Testing
- Agentic AI Testing
- RAG Validation
- Prompt Testing and Optimization
- AI Safety & Responsible AI Testing
- API and Integration Testing
- Test Automation
- Cloud-based AI Solutions

Responsibilities

Quality Assurance (QA) Engineer – Conversational AI & Agentic AI

Job Overview

We are looking for a Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting, specifically within the field of 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.

Key Responsibilities

1. Develop and execute test cases, scripts, and procedures for Conversational AI and Agentic AI applications.
2. Collaborate with product managers, developers, data scientists, prompt engineers, and other stakeholders to ensure quality standards are met throughout the development lifecycle.
3. Perform functional, regression, integration, performance, and end-to-end testing across conversational AI platforms and agent-based AI systems.
4. Validate AI agent decision-making, task execution, multi-step workflows, reasoning paths, and interactions with external tools, APIs, and knowledge sources.
5. Test LLM-powered applications for accuracy, relevance, consistency, hallucinations, guardrail compliance, and response quality.
6. Evaluate agent orchestration capabilities, including multi-agent collaboration, task decomposition, context management, memory retention, and tool utilization.
7. Identify, document, and track defects using JIRA and provide detailed reports on testing results.
8. Analyze requirements and design comprehensive test strategies covering conversational flows, autonomous agent behaviors, integrations, and edge-case scenarios.
9. Conduct prompt, response, and workflow validation to ensure optimal performance and user experience.
10. Perform security, privacy, bias, and responsible AI testing to validate compliance with organizational and regulatory standards.
11. Generate test reports, dashboards, and quality metrics for stakeholders, ensuring clear and actionable insights.
12. Contribute to the continuous improvement of AI testing processes, frameworks, methodologies, and automation capabilities.

Required Qualifications

1. 3-7 years of experience in software testing and quality assurance, with exposure to Conversational AI, Generative AI, Agentic AI, or similar AI technologies.
2. Strong knowledge of QA methodologies, SDLC, STLC, defect management, and validation techniques.
3. Experience testing conversational AI platforms, chatbots, voicebots, virtual assistants, or AI-driven applications.
4. Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering concepts, and AI agent architectures.
5. Experience with JIRA for defect tracking and project management.
6. Strong proficiency in Excel for data analysis, reporting, and test metrics.
7. Familiarity with API testing tools such as Postman, Swagger, or equivalent.
8. Experience in functional, integration, performance, security, and user acceptance testing.
9. Understanding of AI evaluation metrics, model behavior analysis, and conversational testing frameworks.
10. Ability to work effectively in cross-functional teams and adapt to fast-paced environments.




11. Strong analytical, troubleshooting, and problem-solving skills.

Desired Qualifications

1. Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar platforms.
2. Experience with automated testing tools and scripting languages (Python, JavaScript, etc.).
3. Exposure to NLP, NLU, LLM evaluation, prompt testing, and AI model validation.
4. Knowledge of cloud AI platforms such as Google CCAI/Dialogflow, Azure AI, AWS Bedrock, Amazon Lex, or OpenAI-based solutions.
5. Familiarity with version control systems (Git, GitHub, Azure DevOps).
6. Experience developing AI test automation frameworks and evaluation pipelines.
7. Understanding of Responsible AI principles, AI governance, model monitoring, and risk assessment.

Personal Attributes

1. Attention to detail and a commitment to delivering high-quality work.
2. Strong communication and stakeholder management skills, both written and verbal.
3. Self-motivated with a passion for AI innovation, quality engineering, and continuous improvement.
4. Ability to manage multiple priorities in a dynamic, fast-paced setting.
5. Curiosity to explore emerging AI technologies and evaluate complex AI agent behaviors.
6. Strong critical thinking skills with the ability to identify risks, edge cases, and quality gaps in AI systems.

Preferred Experience Areas

- Conversational AI Testing (Chatbots, Voicebots, Virtual Assistants)
- Generative AI & LLM Testing
- Agentic AI Testing
- RAG Validation
- Prompt Testing and Optimization
- AI Safety & Responsible AI Testing
- API and Integration Testing
- Test Automation
- Cloud-based AI Solutions

Qualifications

BS/BE 6-8 years of relevant experience EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.

EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.

EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers.

We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible.

Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients.

Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

📌 Functional Leader - Quality Assurance (Uttar Pradesh)
🏢 EXL
📍 Uttar Pradesh