Senior AI QA Engineer ( PlayWright + .Net+ Python + RAG/LLM QA experience)

Project Description:

Our team is building a next generation capital markets platform that transforms routine manual-heavy analytics and decision making into a proactive, AI driven continuous process.

Responsibilities:

Automation:

• Build and maintain Playwright E2E/UI test suites for key user journeys

• Use Playwright's APIRequestContext for API + workflow testing

• Create robust, maintainable test architecture and reusable libraries

Data, Graph & Analytics Validation

• Write Python-based validators to check analytics logic

• Validate SQL Server data transformations, calculations, and outputs

• Run GraphDB queries (SPARQL/Cypher) to verify entity relationships and dependencies

• Ensure consistency of data flowing through APIs → SQL/Graph → UI

Quality Strategy

• Collaborate across backend, data science, and product teams

• Define regression coverage, test data strategy, and reporting standards

Mandatory Skills Description:

• Strong experience (5+ years) in C#/.NET test automation

• Strong Python skills (5+ years experience)

• UI automation: Selenium / Playwright

• API automation: RestSharp / HttpClient

• Experience with Graph Databases (Graph DB, SPARQL or Cypher)

• SHACL validation experience

• SQL proficiency

• Experience testing data lakehouse tech (Iceberg)

• RAG/LLM QA experience (prompt testing, embeddings validation)

• CI/CD pipeline automation (Docker, GitHub Actions/GitLab)

• Solid understanding of testing methodologies, QA lifecycle, and Agile processes.

• Ability to analyze complex workflows and large datasets.

• Strong communication skills and a proactive mindset.