Description

You will lead the transformation of Quality Engineering through Agentic AI, defining the roadmap and implementing hands-on solutions.

Responsibilities

• Evaluate current QE landscapes and drive an Agentic AI-led transformation strategy.
• Design autonomous test generation using LLMs and self-healing automation frameworks.
• Develop intelligent analytics for defect prediction, automated triaging, and synthetic data generation.
• Integrate AI capabilities into CI/CD pipelines and DevOps workflows to accelerate delivery.
• Evaluate next-gen platforms, build POCs, and scale them into production-ready frameworks.

Required Skills

• 10–14 years of experience in Quality Engineering or SDET, leading enterprise-scale transformations.
• Proven expertise with Agentic AI and GenAI frameworks (LangChain, CrewAI, AutoGen, or Cursor).
• Specific knowledge of Claude Code and its application in development and testing workflows.
• Deep understanding of LLMs and multi-agent systems applied to Quality Engineering.
• Expertise in modern automation tools: Playwright, Selenium, or Cypress.
• Strong grasp of API testing, microservices, and cloud-native architectures.
• Hands-on experience with GitHub Actions and CI/CD integration.
• Familiarity with cloud platforms (AWS, Azure, or GCP) in the context of AI and testing.
• Ability to build POCs from scratch and scale them into production.

Preferred Skills

• Experience acting as a player-coach, contributing directly to code while architecting strategy.
• Exceptional ability to explain complex AI concepts to non-technical stakeholders and senior leadership.

Key Skills

Education

Any Gradute