Gen AI Automation Testing
Location: Pan India
Exp: 5Yrs
- Automation Framework Development: Design develop and maintain modular
extensible and scalable test automation testcases from scratch using Java or
JavaScript.
- AI/ML Model Validation: Create validation strategies for AI-driven products
LLM-integrated workflows and agents.
- Cloud Testing & Infrastructure: Implement and execute automated tests in
cloud environments (AWS Azure or GCP). Use Docker and Kubernetes for
containerized testing environments.
- CI/CD Integration: Embed automated test suites into CI/CD pipelines (Jenkins
GitHub Actions) to achieve continuous testing and rapid feedback.
- API & Backend Testing: Design and execute RESTful API automation tests using
tools like Postman REST Assured.
- Test Strategy & Planning: Participate in sprint planning and design reviews to
identify testing requirements and define scope strategy and test data
management.
- Data Validation & Management: Perform data masking generation and
validation using SQL or NoSQL databases to support end-to-end testing.
- Debugging & Analysis: Analyze test results using AI-powered tools or logs to
identify patterns root causes of failures and predict issues.
Required Technical Skills:
- QA Automation Engineering.
- Programming: Proficient in Java Python.
- Automation Tools: Selenium WebDriver Playwright or Cypress.
- Cloud Platforms: Practical expertise working with AWS and Azure.
- AI/LLM Testing: Experience with model evaluation metrics RAG
(Retrieval-Augmented Generation) or prompt engineering validation.
- API/Database: Strong API testing experience and SQL skills.
DevOps: Jenkins/GitHub Actions Docker Kubernetes.
Gen AI Automation Testing Location: Pan India Exp: 5Yrs Automation Framework Development: Design develop and maintain modular extensible and scalable test automation testcases from scratch using Java or JavaScript. AI/ML Model Validation: Create validation strategies for AI-driven produ...
Gen AI Automation Testing
Location: Pan India
Exp: 5Yrs
- Automation Framework Development: Design develop and maintain modular
extensible and scalable test automation testcases from scratch using Java or
JavaScript.
- AI/ML Model Validation: Create validation strategies for AI-driven products
LLM-integrated workflows and agents.
- Cloud Testing & Infrastructure: Implement and execute automated tests in
cloud environments (AWS Azure or GCP). Use Docker and Kubernetes for
containerized testing environments.
- CI/CD Integration: Embed automated test suites into CI/CD pipelines (Jenkins
GitHub Actions) to achieve continuous testing and rapid feedback.
- API & Backend Testing: Design and execute RESTful API automation tests using
tools like Postman REST Assured.
- Test Strategy & Planning: Participate in sprint planning and design reviews to
identify testing requirements and define scope strategy and test data
management.
- Data Validation & Management: Perform data masking generation and
validation using SQL or NoSQL databases to support end-to-end testing.
- Debugging & Analysis: Analyze test results using AI-powered tools or logs to
identify patterns root causes of failures and predict issues.
Required Technical Skills:
- QA Automation Engineering.
- Programming: Proficient in Java Python.
- Automation Tools: Selenium WebDriver Playwright or Cypress.
- Cloud Platforms: Practical expertise working with AWS and Azure.
- AI/LLM Testing: Experience with model evaluation metrics RAG
(Retrieval-Augmented Generation) or prompt engineering validation.
- API/Database: Strong API testing experience and SQL skills.
DevOps: Jenkins/GitHub Actions Docker Kubernetes.
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