Qe Automation Engineer+AI-Manager

PwC

Kolkata District, Hyderabad, Bengaluru

Hybride

INR 2 200 000 - 4 000 000

Plein temps

Il y a 11 jours

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Résumé du poste

PwC is seeking a QE Engineer with AI experience for a manager-level role. Location: Kolkata, along with Bengaluru, Hyderabad, Gurgaon, Pune, Chennai. Experience: 8–12 years in software quality engineering.

Hands-on use of GenAI/AI tools (at least two such as GitHub Copilot and ChatGPT) for requirements analysis, test-case generation, data generation and defect analysis. You will develop AI-assisted automation (Playwright, Selenium, Karate, REST Assured), review AI-generated outputs for accuracy

Qualifications

  • 8–12 years of QE engineering experience.

Responsabilités

  • Lead AI-assisted QA initiatives and test strategy.
  • Develop and refine prompts for AI-generated test cases and data.
  • Integrate automated tests with CI/CD and AI tooling.

Connaissances

GenAI tools experience
AI testing
Prompts for test scenarios
Test data generation
CI/CD integration
Programming languages
LLM concepts

Outils

GitHub Copilot
ChatGPT
Cursor
Claude
Gemini
Playwright
Selenium
Karate
REST Assured
Tosca
Jenkins
GitHub Actions
Azure DevOps
Xray
Zephyr

Description du poste

We are looking for QE Engineer with AI Experience for Manager level.

Experience-8-12 years

Location-Bangalore/Hyderabad/Gurgaon/Pune/Kolkata/Chennai.


Hands-on use of GenAI/AI tools (2 tools are must :GitHub CoPilot, ChatGPT, Cursor, Claude, Gemini) for software testing requirements analysis, test scenario identification, test-case generation, test-data generation, automation code generation, execution support and defect analysis (any 2) Ability to create and refine prompts/context for generating test scenarios, test cases, automation scripts, test data and defect analysis.
Understanding of LLMs, tokens/context windows, hallucinations, temperature, grounding and prompt/context management Ability to develop and maintain automation with AI assistance (Playwright with MCP, Selenium with MCP Tosca, Karate, REST Assured). Experience in connecting to MCP server. TypeScript/JavaScript, Java or Python; ability to understand, review, debug and enhance AI-generated code Ability to critically review AI-generated test cases/code for correctness, coverage, hallucinations, security concerns and maintainability rather than accepting generated output blindly Integration and execution of automated tests through Jenkins, GitHub Actions, Azure DevOps or equivalent using AI tools Exposure to testing chatbots, copilots and GenAI applications—including response quality, hallucination, groundedness and safety AWS, Azure or GCP (any 1) Jira, Azure DevOps, Xray, Zephyr or equivalent (any 1) Basic understanding of Retrieval-Augmented Generation and using enterprise knowledge/context with LLMs

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