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

Full–time

Posted on: 3 days ago

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.