Quality Assurance Automation Engineer

QUALITY ASSURANCE AUTOMATION ENGINEER - AI-ENABLED QA

Pupiltree.ai | On-site - Ballari, Karnataka | Contract | Approximately 2-3 months

ABOUT THE ROLE

Pupiltree.ai is looking for a hands-on Quality Assurance Automation Engineer to improve quality across our applications and websites. You will combine thoughtful manual testing, deterministic automation, and AI-based testing capabilities to create a reliable and continuously improving QA system.

This is an ownership role. During the initial 2-3 month project, you will test active products while building the automated suites, CI/CD quality gates, AI-assisted workflows, documentation, and operating processes that our team can continue to improve.

WORKING ARRANGEMENT - PLEASE READ

This is a compulsory on-site position in Ballari (Bellary), Karnataka. It is not a remote or hybrid role. Food and accommodation are provided for the duration of the project. Specific arrangements will be explained during the hiring process.

The role begins as a 2-3 month contract/project engagement. A full-time opportunity may be considered afterward based on performance, mutual fit, business requirements, and ongoing workload. Conversion is not guaranteed.

WHAT YOU WILL DO

• Audit our applications, websites, environments, release processes, and current test coverage.
• Build a risk-based test strategy for critical user journeys.
• Perform exploratory, functional, regression, cross-browser, responsive, API, integration, and release testing.
• Create clear test cases, acceptance criteria, release checklists, and reproducible defect reports.
• Strengthen unit, API, integration, and end-to-end coverage with the development team.
• Build maintainable automated browser and API tests using suitable modern frameworks.
• Integrate smoke, regression, API, and end-to-end tests into CI/CD.
• Incorporate AI-based automated testing into the QA suite using LLMs and/or testing agents where they provide measurable value.
• Build guarded workflows that generate candidate tests from requirements, user journeys, code changes, and production defects.
• Apply AI to exploratory scenario creation, test-data generation, anomaly detection, and failure triage where appropriate.
• Keep deterministic tests and verified evidence as the source of truth for release decisions.
• Create a feedback loop in which validated defects become regression tests and improve the AI testing prompts, evaluations, and reference datasets.
• Document the framework and train the continuing QA owner to operate and extend it.

EXPECTED OUTCOMES IN 2-3 MONTHS

• A QA audit and prioritized product-risk register.
• A coverage map for business-critical workflows.
• Repeatable smoke and regression suites.
• Automated API and integration coverage for high-risk workflows.
• CI/CD quality gates with actionable logs, screenshots, and reports.
• An AI-assisted testing layer for high-value test generation, exploration, test-data creation, and failure triage.
• Evaluation benchmarks, confidence thresholds, audit trails, and human-review rules for AI-generated tests and recommendations.
• Documented defect-triage, release-readiness, flaky-test, and handover processes.

REQUIRED EXPERIENCE

• Strong experience testing production web applications; mobile-app testing experience is valuable.
• Experience designing and maintaining automated test frameworks.
• Proficiency with Playwright, Cypress, Selenium, or an equivalent framework.
• Experience testing APIs and integrations.
• Experience integrating automated tests into CI/CD pipelines.
• Practical experience using LLM APIs, AI agents, or AI-enabled testing tools for test creation, execution, exploration, or failure analysis.
• Ability to evaluate AI-generated tests for correctness, coverage, duplication, false positives, and maintainability.
• Programming or scripting ability in TypeScript/JavaScript, Python, Java, or a similar language.
• Strong debugging, documentation, communication, and product-thinking skills.

NICE TO HAVE

• Mobile automation experience with Appium, Maestro, Detox, or a similar tool.
• Experience with visual regression, accessibility, performance, security, or load testing.
• Experience with coding agents, prompt/evaluation workflows, synthetic test data, or agent-driven browser testing.
• Experience establishing QA practices in an early-stage or fast-moving organization.

HOW TO APPLY

Please apply with your resume or LinkedIn profile and include:

• An example of a test-automation system you designed or significantly improved.
• An example of how you used AI or agents in a testing workflow and how you measured its quality.
• The frameworks and programming languages you used.
• An example of how your work reduced release risk, regression time, or flaky-test failures.

Relevant code samples, case studies, or sanitized testing artifacts are welcome.