Job Title: AI-Enabled QA Engineer
Experience: 5–6 Years
Location: Bangalore (Onsite)
Company Type: Product-based AI B2B SaaS
Role Overview
We are looking for an AI-Enabled QA Engineer to ensure the quality reliability and correctness of AI-powered B2B SaaS products. This role combines strong manual testing expertise with AI output validation AI-assisted test case creation and automation testing.
The ideal candidate understands both traditional QA practices and the nuances of AI/ML-driven systems including validating non-deterministic outputs and providing structured feedback to improve model performance.
Key Responsibilities
Perform end-to-end manual testing of AI-enabled web applications and SaaS platforms
Validate AI/ML outputs for accuracy relevance consistency and bias
Provide structured feedback and test evidence to ML and product teams to improve model behavior
Design and create test cases using AI-based QA tools and intelligent testing platforms
Develop and maintain automated test suites for regression functional and integration testing
Validate AI-driven features across multiple scenarios edge cases and data variations
Collaborate closely with ML Engineers Developers and Product Managers
Ensure quality across APIs microservices and UI layers
Participate in release validation defect triage and root cause analysis
Required Skills & Experience
5–6 years of experience in QA / Software Testing
Strong hands-on experience in manual testing for web and SaaS applications
Experience validating AI or data-driven system outputs
Hands-on experience with test automation frameworks (Selenium Playwright Cypress etc.)
Familiarity with AI-assisted testing tools for test case generation and validation
Experience testing REST APIs and microservices
Solid understanding of QA processes SDLC and Agile methodologies
Strong analytical skills with attention to detail
Good to Have
Experience testing AI/ML-based products or platforms
Exposure to model evaluation concepts (accuracy consistency hallucination handling)
Experience with performance and security testing
Knowledge of CI/CD pipelines and test automation integration
Exposure to tools like Postman JMeter TestRail or similar
Why Join Us
Work on cutting-edge AI-driven B2B SaaS products
Be part of a modern QA team evolving with AI-first testing practices
Collaborate closely with ML and product engineering teams
Opportunity to build expertise in next-generation QA and AI validation
Job Title: AI-Enabled QA Engineer Experience: 5–6 YearsLocation: Bangalore (Onsite)Company Type: Product-based AI B2B SaaS Role Overview We are looking for an AI-Enabled QA Engineer to ensure the quality reliability and correctness of AI-powered B2B SaaS products. This role combines strong manual...
Job Title: AI-Enabled QA Engineer
Experience: 5–6 Years
Location: Bangalore (Onsite)
Company Type: Product-based AI B2B SaaS
Role Overview
We are looking for an AI-Enabled QA Engineer to ensure the quality reliability and correctness of AI-powered B2B SaaS products. This role combines strong manual testing expertise with AI output validation AI-assisted test case creation and automation testing.
The ideal candidate understands both traditional QA practices and the nuances of AI/ML-driven systems including validating non-deterministic outputs and providing structured feedback to improve model performance.
Key Responsibilities
Perform end-to-end manual testing of AI-enabled web applications and SaaS platforms
Validate AI/ML outputs for accuracy relevance consistency and bias
Provide structured feedback and test evidence to ML and product teams to improve model behavior
Design and create test cases using AI-based QA tools and intelligent testing platforms
Develop and maintain automated test suites for regression functional and integration testing
Validate AI-driven features across multiple scenarios edge cases and data variations
Collaborate closely with ML Engineers Developers and Product Managers
Ensure quality across APIs microservices and UI layers
Participate in release validation defect triage and root cause analysis
Required Skills & Experience
5–6 years of experience in QA / Software Testing
Strong hands-on experience in manual testing for web and SaaS applications
Experience validating AI or data-driven system outputs
Hands-on experience with test automation frameworks (Selenium Playwright Cypress etc.)
Familiarity with AI-assisted testing tools for test case generation and validation
Experience testing REST APIs and microservices
Solid understanding of QA processes SDLC and Agile methodologies
Strong analytical skills with attention to detail
Good to Have
Experience testing AI/ML-based products or platforms
Exposure to model evaluation concepts (accuracy consistency hallucination handling)
Experience with performance and security testing
Knowledge of CI/CD pipelines and test automation integration
Exposure to tools like Postman JMeter TestRail or similar
Why Join Us
Work on cutting-edge AI-driven B2B SaaS products
Be part of a modern QA team evolving with AI-first testing practices
Collaborate closely with ML and product engineering teams
Opportunity to build expertise in next-generation QA and AI validation
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