QA Automation Engineer with AI

Infoya; Navalur; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Infoya is seeking a QA Engineer – AI with 3–7 years of experience to validate AI-powered applications, automation workflows, and intelligent systems. You will work closely with developers, AI engineers, and product teams to ensure the quality, reliability, and performance of AI solutions.

Responsibilities include designing and executing test plans, performing API testing, validating AI/LLM outputs for accuracy and bias, and building automation frameworks for web and API testing.

Qualifications

• 3–7 years of Software Testing/QA experience.
• Strong manual and automation testing expertise.
• Hands-on Selenium WebDriver experience.
• Programming knowledge in Java or Python.
• Experience with API testing using Postman or Rest Assured.
• SQL and database validation skills.
• Experience in Agile/Scrum environments and CI/CD basics.
• Exposure to Generative AI/LLMs and AI validation is a plus.

Responsibilities

• Design, develop, and execute test plans and test cases for AI-enabled apps.
• Perform functional, regression, integration, system, and end-to-end testing.
• Validate AI/LLM outputs for accuracy, bias, hallucinations, and edge cases.
• Develop and maintain automation frameworks for web and API testing.
• Perform REST API testing with Postman/Rest Assured.
• Create test data strategies for AI model validation.
• Collaborate with developers to reproduce and fix defects.
• Validate prompt engineering and AI workflow integrations.
• Execute performance and reliability testing for AI solutions.
• Participate in Agile ceremonies and defect triage; maintain quality metrics with JIRA/Azure DevOps.

Skills

Manual testing

Automation testing

API testing

Java

Python

SQL

Agile/Scrum

AI/LLMs

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Selenium WebDriver

Postman

Rest Assured

Git

Playwright

Cypress

JIRA

Job description

Infoya is a global IT solutions provider specializing in transforming complex challenges into streamlined, AI-powered outcomes. Through proprietary technology accelerators and full-scale enterprise services, Infoya automates workflows, enhances operational efficiency, and drives digital transformation across industries. With a presence in Canada, the US, India, and Costa Rica, we blend technical depth with creative problem-solving to deliver measurable impact.

Job Description

Job Summary

We are seeking a QA Engineer – AI with 3–7 years of experience to validate AI-powered applications, automation workflows, and intelligent systems. The ideal candidate should have strong expertise in manual and automation testing, API testing, and experience validating Generative AI/LLM-based applications. You will work closely with developers, AI engineers, and product teams to ensure the quality, reliability, and performance of AI solutions.

Key Responsibilities

Design, develop, and execute comprehensive test plans, test cases, and test scenarios for AI-enabled applications.

Perform functional, regression, integration, system, and end-to-end testing.

Validate AI/LLM outputs for accuracy, consistency, hallucinations, bias, and edge cases.

Develop and maintain automation frameworks for web and API testing.

Perform REST API testing using Postman, Rest Assured, or similar tools.

Create and execute test data strategies for AI model validation.

Work with developers to identify, reproduce, and resolve defects.

Validate prompt engineering scenarios and AI workflow integrations.

Execute performance and reliability testing for AI-powered applications.

Participate in Agile ceremonies, sprint planning, and defect triage meetings.

Maintain test documentation, defect reports, and quality metrics using JIRA or Azure DevOps.

Mandatory Skills

3–7 years of experience in Software Testing/QA.

Strong experience in Manual Testing and Automation Testing.

Hands-on experience with Selenium WebDriver.

Programming knowledge in Java or Python.

Experience with TestNG/JUnit and automation frameworks.

Strong understanding of API Testing using Postman and/or Rest Assured.

Knowledge of SQL and database validation.

Hands-on experience with Git and version control.

Experience working in Agile/Scrum environments.

Exposure to Generative AI, LLMs (ChatGPT, Gemini, Claude, etc.), prompt testing, or AI application validation.

Experience with defect tracking tools such as JIRA.

Preferred Skills

Experience testing applications built on OpenAI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or similar AI platforms.

Knowledge of Python scripting for test automation.

Experience with Playwright or Cypress.

Exposure to CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.

Understanding of Docker and basic Kubernetes concepts.

Experience with performance testing tools such as JMeter.

Familiarity with AI evaluation metrics, prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases is an added advantage.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Soft Skills

Strong analytical and problem-solving abilities.

Excellent communication and collaboration skills.

Ability to work independently and in cross-functional teams.

Attention to detail with a quality-first mindset.

Eagerness to learn emerging AI technologies and testing methodologies.