Job Description:

We are looking for a highly skilled QA Engineer with 5-7 years of experience in Quality Assurance. The ideal candidate should possess a strong foundation in QA methodologies, be proficient in modern tech stacks, and have hands-on experience in testing AI models, hands-on using large language models (LLMs). This role involves end-to-end testing of web applications, APIs, and databases, as well as validating AI model outputs for accuracy, robustness, and fairness. 

Key Responsibilities:

● Design, develop, and execute test cases using modern automation frameworks and

scripting languages.

● Work closely with development teams to understand application functionality and

ensure comprehensive test coverage for both traditional systems and AI-driven

components.

● Perform end-to-end testing of AI models, and validate model outputs against expected

outcomes.

● Establish and validate connectivity with databases like MySQL, and MongoDB, and

perform data validation using JDBC or other modern drivers.

● Ensure data ingestion processes into databases are thoroughly tested and validated for

data integrity.

● Validate REST API responses, ensuring consistency with data stored in databases and AI

model predictions.

● Perform performance and stress testing on AI models, web applications, and APIs to

identify bottlenecks.

● Implement automated testing frameworks (e.g., Selenium, Cypress, testNG) and CI/CD

pipelines to improve testing efficiency.

● Analyze defects, inconsistencies, and areas for improvement using strong analytical and

problem-solving skills.

● Collaborate with cross-functional teams (Development, Data Science, DevOps) to

troubleshoot and resolve issues efficiently.

● Stay up-to-date with the latest advancements in AI model testing, automation tools, and

QA best practices.

● Mentor junior team members and participate in continuous learning opportunities

within the QA domain

Qualifications & Skills Required:

● Bachelor’s degree in Computer Science, Engineering, or a related field.

● 5-7 years of hands-on experience in QA roles with strong expertise in testing AI models

and LLMs.

● Proficiency in Java, Python, or other modern programming languages, with hands-on

experience in coding test scripts.

● Strong knowledge of MySQL, MongoDB, and JDBC drivers for database testing and

validation.

● Understanding of AI model testing, including model performance, output validation, and

testing for bias/fairness.

● Experience with automation testing tools such as Selenium, Cypress, Appium, JUnit, or

REST Assured.

● Experience in performance testing tools (e.g., JMeter) and CI/CD pipeline integration.

● Excellent analytical, logical, and problem-solving skills.

● Strong communication and collaboration skills, capable of working effectively with

cross-functional teams.

● Experience with modern QA tools like JIRA, Jenkins, Git, and Docker for test automation

and CI/CD pipeline setup.