Quality Assurance Automation Engineer

Location: Ballari

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…