ETL Test Automation Engineer AI/ML Quality Assurance

Working knowledge of Model Context Protocol (ClientP), agentic AI agents, multi-agent systems, retrieval-augmented generation (RAG), prompt engineering, and regression testing for AI systems. Strong knowledge of the Software Testing Life Cycle (STLC), including the creation, maintenance, and execution of automation and functional test plans.

Job Title: ETL Test Automation Engineer AI/ML Quality Assurance
Work Location & Reporting Address: Boston, MA 02206 (Onsite)

Must Have Skills:
Excellent understanding and hands-on experience with Python, PySpark automation, and Databricks, including analytical functions and complex SQL queries.
Working knowledge of Model Context Protocol (ClientP), agentic AI agents, multi-agent systems, retrieval-augmented generation (RAG), prompt engineering, and regression testing for AI systems.

Nice to Have Skills:
Experience in the financial services domain is highly desirable
Anti-Money Laundering (AML) processes and related business

Detailed Job Description:
7+ years of experience in ETL testing and automation development,
including a minimum of 2 years of experience applying AI to quality assurance use cases.
Excellent understanding and hands-on experience with Python, PySpark automation, and Databricks, including analytical functions and complex SQL queries.
Working knowledge of Model Context Protocol (ClientP), agentic AI agents, multi-agent systems, retrieval-augmented generation (RAG), prompt engineering, and regression testing for AI systems.
Strong knowledge of the Software Testing Life Cycle (STLC), including the creation, maintenance, and execution of automation and functional test plans.
Experience writing test scripts for software platforms, communicating test results, tracking defects, and participating in day-to-day QA activities.
Knowledge of test methodologies and experience with associated tools, including JIRA, Xray, and Confluence.
Good understanding of Agile methodologies and Agile ceremonies.

Minimum Years of Experience:
9+ years

Interview Process (Is face to face required?)
Face-to-Face