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.