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Red hat Software Quality Engineer 
India, Karnataka 
526617367

17.04.2025

About the Job

The Red Hat Quality Engineering team is looking for a Quality Engineer to join us in Pune India/ Brno Czech. In this role, you will have a focus on Generative AI applications. You will be responsible for designing, executing, and automating tests for AI models, algorithms, and systems, ensuring their functionality, performance, integrations and ethical standards. You will work closely with developers, data scientists, and stakeholders to ensure the quality and reliability of AI solutions through rigorous testing practices.

What will you do

  • Design and execute test cases to validate the functionality, performance, and reliability of Generative AI solutions.

  • Perform testing on data validation scenarios, data ingestion, pipelines, and transformation processes (ETL).

  • Test and automate API functionalities using tools like Postman or Rest Assured.

  • Develop and maintain automated test scripts for performance, functional, integration, and regression testing.

  • Collaborate with stakeholders to identify testing requirements, set priorities, and resolve issues in a timely manner.

  • Identify and document defects, issues, and risks related to Generative AI implementations.

  • Drive continuous improvement and establish best practices for testing methodologies and AI quality standards.

  • Stay updated with the latest advancements in AI testing, tools, and frameworks, including bias detection and fairness evaluations.

  • Provide detailed reports and present testing results to leadership, offering clear, business-focused insights.

  • Influence team members to follow testing standards and procedures for AI systems.

What will you bring

  • Bachelor's degree in information technology (IT) or computer science with 2+ years of related experience

  • Experience in API testing using Postman/Rest Assured.

  • Proficiency in performance testing and automation tools.

  • Familiarity with automated testing and continuous integration tools.

  • Experience setting testing standards and influencing quality processes.

  • Strong analytical and problem-solving skills, with attention to detail.

  • Excellent communication and presentation skills, capable of translating complex concepts into actionable insights for stakeholders.

  • Experience in Agile development environments.

  • Proven experience in Python scripting for Generative AI applications.

  • Familiarity with testing data pipelines, data validation, and ETL processes.

  • Intermediate decision-making skills on day-to-day development

  • Intermediate written and verbal communication skills in English

Plus to have:

  • Experience in ethical AI testing, including bias detection and fairness evaluations.

  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) for AI/ML model deployment.

  • Understanding of data privacy and security best practices for AI systems.

  • Knowledge of statistics and DevOps processes is a plus.