Senior AI Test Automation Engineer

We are looking for a Senior AI Test Automation Engineer to join a team developing enterprise-grade financial technology solutions. You will be responsible for designing, implementing, and maintaining automated testing across UI, API, and integration layers, while contributing to the evolution of an AI-driven approach to software quality and test automation.

This is an engineering-focused role where you will work closely with developers and other engineers to build reliable automation frameworks, integrate quality checks into CI/CD, and leverage modern AI technologies to improve test generation, maintenance, and analysis.

Responsibilities

Design, develop, and maintain automated tests for UI, API, and service integrations Build and maintain automation frameworks using Playwright and/or Selenium Develop end-to-end and integration test suites for critical business workflows Integrate automated tests into GitLab CI/CD pipelines, including regression execution and quality gates Continuously improve automated test coverage and reduce manual testing Investigate test failures, perform root-cause analysis, and work with development teams to resolve defects Implement data validation, reconciliation, and performance checks where appropriate Maintain test cases, test runs, coverage, and traceability in Test.

Rail Manage defects and collaborate with the team through Jira Contribute to test architecture, automation strategy, and continuous improvement of QA practices Apply AI-assisted engineering approaches to improve test creation, maintenance, analysis, and defect triage Requirements 4+ years of experience in QA Automation / Software Testing Strong hands-on experience with Playwright and/or Selenium Experience with API testing and REST services Strong understanding of end-to-end and integration testing Experience integrating automated tests into CI/CD pipelines, preferably GitLab Good programming skills in TypeScript/JavaScript, Java, or Python Experience with Test.

Rail or similar test management tools Experience with Jira and defect management Strong debugging and root-cause analysis skills Experience building or maintaining scalable and maintainable automation frameworks Hands-on experience using AI tools in software development or testing Practical experience with AI coding assistants or agents Experience with agentic workflows, MCP, or AI-assisted engineering Understanding of LLM-based solutions and their evaluation Excellent command of English (B2+ level) and ability to work effectively in a distributed engineering team Nice to have Experience with Lang.

Graph, Lang. Chain, or similar frameworks Experience building AI evaluation/test harnesses or applying MLOps practices