Role

• Design and build AI-powered test automation solutions, including prompt-driven and LLM-assisted validation workflows.
• Develop and enhance automation frameworks across UI, API, and distributed systems, with a focus on scalability and reusability.
• Build self-healing and adaptive test solutions using AI techniques (e.g., dynamic locators, test generation, anomaly detection).
• Experiment with and integrate agentic frameworks (LangChain, Semantic Kernel, AutoGPT, etc.) for autonomous test execution and orchestration.
• Contribute to test generation using LLMs—converting requirements, user stories, or logs into executable test cases.
• Integrate AI-driven testing into CI/CD pipelines to enable continuous, intelligent quality validation.
• Collaborate closely with developers, DevOps, and AI/ML engineers to embed testing early in the development lifecycle.
• Analyze failures using logs, telemetry, and A...