The ideal candidate will have deep expertise in Generative AI, Machine Learning, and Test Automation, and a proven track record of designing and deploying agent-based AI systems that improve testing efficiency, coverage, and ROI.
Design and implement Generative AI solutions for QA, including:
- Automated test case generation from requirements/user stories
- Test optimization and redundancy reduction
- Intelligent defect prediction and root cause analysis
Architect and deploy agentic AI systems for QA automation:
- Multi-agent orchestration (planner, executor, validator agents)
- Autonomous test execution and self-healing capabilities
- Build, fine-tune, and deploy LLMs and ML models for QA use cases
- Proven experience applying AI/ML in QA automation and Test case generation/optimization
- Hands-on experience with Large Language Models (LLMs)