Website Macpower Digital Assets Edge Private Limited
Macpower Digital Assets Edge Private Limited
Company : Macpower Digital Assets Edge Private Limited
Job Summary: We are seeking a highly skilled Senior QA Automation Engineer with 6+ years of experience in Software Functional Testing and 4 7 years of expertise in Selenium. The ideal candidate will lead system integration testing, ensure adherence to quality standards, and develop AI-specific automated testing frameworks. This role requires expertise in Agile methodologies, test automation tools, and AI model evaluation using LLMs and RAG architectures.
Key Responsibilities:
- Conduct system integration testing for new and enhanced applications.
- Develop and execute automated tests using Selenium and other industry-standard tools.
- Collaborate with project teams to establish plans, standards, and procedures that optimize testing efforts.
- Ensure on-time delivery by monitoring dependencies, progress, and milestones.
- Educate business and development teams on the testing methodology, with a focus on end-to-end quality assurance.
- Lead project and quality management initiatives, including issue tracking and communication.
- Optimize resource utilization by assisting the Testing Manager in reviewing forecasting reports.
- Ensure compliance with Agile methodologies, maintaining detailed process documentation.
- Perform AI-specific testing, including validation of LLMs and RAG architectures using vector databases.
- Implement automated testing frameworks for Gen AI applications, such as DeepEval and RAGAs.
- Develop custom validation scripts for evaluating AI model accuracy, relevance, and faithfulness.
- Test prompt engineering techniques to refine AI-generated responses.
- Execute SQL queries in Snowflake to validate database integrity and application responses.
Essential Skills & Experience:
- 6+ years of experience in Software Functional Testing with automation expertise in Selenium.
- Experience with Jira and ALM for test and issue tracking.
- Strong proficiency in Python, with experience in AI testing frameworks such as LangChain, Pytest, and PyTorch.
- Hands-on expertise in LLM & RAG architecture testing using vector databases.
- Familiarity with Snowflake, SQL querying, and data validation techniques.
- Excellent communication and leadership skills to engage with stakeholders.