Performs manual and automated testing for web and mobile applications. Responsibilities include creating test cases, executing functional, regression, smoke, UI, cross-browser, and cross-device tests, reporting and verifying bugs, validating APIs and backend responses, maintaining automation scripts, and collaborating with development and business teams. The role also supports sprint planning, release quality assurance, and independent feature testing.

Design, develop, and deploy scalable AI/ML systems using Python and modern frameworks. Build LLM-based solutions, RAG pipelines, AI agents, and APIs. Handle data preprocessing, feature engineering, model training, evaluation, optimization, and production monitoring. Integrate models with web/mobile/backend systems, work with vector databases and embeddings, optimize inference, participate in architecture, mentor junior engineers, and communicate with clients and stakeholders.