Senior AI Test Automation Engineer

EPAM Systems; Turkey; On-site; TRY 350,000 - 550,000; Full time

Benefits offered by this job

Private health insurance

English courses

Continuous upskilling

Annual performance reviews

Access to learning platforms

Job summary

EPAM Systems is seeking a hands-on Senior AI Test Automation Engineer to design, build, and maintain automated testing solutions across UI, API and integration layers, embedding AI agentic practices into 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

Qualifications

• Hands-on automation experience with UI (Playwright/Selenium).
• Experience testing REST APIs and end-to-end/integration tests.
• Proficiency in TypeScript/JavaScript/Java/Python.
• Experience integrating tests into CI/CD, preferably GitLab.
• Familiar with TestRail or similar tools and Jira.
• Strong debugging/root-cause analysis skills.
• Proven use of AI tools and agentic approaches in delivery.
• Experience with MCP and building agent skills.
• Exposure to LangGraph/LangChain and AI testing workflows.
• English proficiency at B2 level or higher.

Responsibilities

• Build and own automated tests across UI, API, and service-integration layers.
• Design fast, stable end-to-end and integration test suites.
• Integrate automated testing into CI/CD using GitLab with regression and reporting.
• Expand automated regression coverage and reduce manual testing.
• Investigate failures via triage, reproduction, root-cause analysis and verification.
• Apply data validation, reconciliation, and performance testing where appropriate.
• Develop AI-assisted testing workflows for generation, maintenance, and triage.
• Create reliable AI testing harnesses and guardrails for repeatability.

Skills

UI automation (Playwright/Selenium)

REST API testing

CI/CD pipelines

Debugging & root-cause analysis

AI-assisted testing workflows

MCP usage

Agent skills & packaging

LangGraph/LangChain familiarity

English proficiency (B2+)

Tools

Playwright

Selenium

GitLab

TestRail

Jira

LangGraph

LangChain

Codex

Claude Code

GitHub Copilot

MCP servers/tools

Job description

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.

Responsibilities

• Build and own automated tests across UI (Playwright, Selenium), API, and service-integration layers
• Design end-to-end and integration test suites, keeping them fast, stable, and maintainable
• Integrate automated testing into CI/CD using GitLab, with automated regression, quality gates, and actionable reporting
• Expand automated regression coverage and reduce manual testing across high-volume and high-risk areas
• Investigate test failures and defects through triage, reproduction, root-cause analysis, and fix verification
• Apply data validation, reconciliation, and performance testing where appropriate
• Build and apply AI-assisted and agentic testing workflows for test generation, maintenance, analysis, and defect triage
• Develop reliable AI testing harnesses, evaluation workflows, and guardrails to make AI-assisted engineering repeatable and trustworthy

Requirements

• 3+ years of hands-on experience with test automation, particularly UI automation using Playwright and/or Selenium
• Experience with REST API testing and end-to-end/integration testing of web and service-based systems
• Proficiency in TypeScript/JavaScript, Java, or Python
• Experience integrating automated tests into CI/CD pipelines, preferably GitLab
• Experience with TestRail or similar test management tools and Jira
• Strong debugging and root-cause analysis skills
• Proven hands-on experience applying AI tools and agentic approaches in real engineering delivery, not just experimentation
• Skills in MCP (Model Context Protocol), building and/or integrating MCP servers and tools
• Expertise in authoring and packaging reusable agent skills for coding and testing agents
• Background in designing multi-step, semi-autonomous agentic workflows for AI-assisted test generation, maintenance, and defect triage
• Daily hands-on experience with AI coding agents such as Codex, Claude Code, and/or GitHub Copilot
• Competency 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 workflows
• English proficiency at B2 level or higher

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’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.