We are looking for a hands-on Senior AI Test Automation Engineer to design, build, and maintain automated testing solutions while applying modern AI and agentic engineering practices to the QA lifecycle.This is an engineering-first role combining strong test automation expertise with hands-on AI engineering. You will own automation across UI, API, and integration layers, embed testing into CI/CD, and use AI agents, MCP, agent skills, and evaluation harnesses to accelerate test generation, maintenance, analysis, and defect triage.ResponsibilitiesBuild and own automated tests across UI (Playwright, Selenium), API, and service-integration layersDesign end-to-end and integration test suites, keeping them fast, stable, and maintainableIntegrate automated testing into CI/CD using GitLab, with automated regression, quality gates, and actionable reportingExpand automated regression coverage and reduce manual testing across high-volume and high-risk areasInvestigate test failures and defects through triage, reproduction, root-cause analysis, and fix verificationApply data validation, reconciliation, and performance testing where appropriateBuild and apply AI-assisted and agentic testing workflows for test generation, maintenance, analysis, and defect triageDevelop reliable AI testing harnesses, evaluation workflows, and guardrails to make AI-assisted engineering repeatable and trustworthyRequirements3+ years of hands-on experience with test automation, particularly UI automation using Playwright and/or SeleniumExperience with REST API testing and end-to-end/integration testing of web and service-based systemsProficiency in TypeScript/JavaScript, Java, or PythonExperience integrating automated tests into CI/CD pipelines, preferably GitLabExperience with TestRail or similar test management tools and JiraStrong debugging and root-cause analysis skillsProven hands-on experience applying AI tools and agentic approaches in real engineering delivery, not just experimentationSkills in MCP (Model Context Protocol), building and/or integrating MCP servers and toolsExpertise in authoring and packaging reusable agent skills for coding and testing agentsBackground in designing multi-step, semi-autonomous agentic workflows for AI-assisted test generation, maintenance, and defect triageDaily hands-on experience with AI coding agents such as Codex, Claude Code, and/or GitHub CopilotCompetency in designing evaluation, testing, and agent harnesses with guardrails and feedback loops, along with hands-on experience with LangGraph and/or LangChain, and evaluating, monitoring, and improving AI-assisted engineering and testing workflowsEnglish proficiency at B2 level or higherWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.