Agentic AI Automation Engineer

Job Description

Job Role: Agentic AI Automation Engineer

Job Location: Menlo Park, CA (Onsite)

Job Type: Full Time

Salary Range: $100000 to $130000/Annum + Full Time Benefits

Technical/Functional Skills

• We are seeking a highly skilled Senior AI-Driven QA Automation Engineer with strong expertise in Python, Agentic AI, and Playwright to design and develop next-generation intelligent test automation frameworks.
• The ideal candidate will have a strong software engineering background, hands-on experience building scalable QA automation solutions, and a deep understanding of how AI technologies can transform software testing and quality engineering practices. This role requires expertise in integrating automation frameworks with tools such as JIRA, Confluence, and XRay, while driving quality throughout the SDLC and STLC lifecycle.

Required Skills & Experience

• 5+ years of strong software development and automation engineering experience.
• Strong programming expertise in Python.
• Hands-on experience in Agentic AI / Generative AI application development.
• Proven experience applying AI technologies to QA automation framework development.
• Strong expertise in Playwright automation framework development and customization.
• Experience integrating testing frameworks with Confluence, JIRA, and XRay.
• Strong understanding of SDLC, STLC, Agile, and DevOps methodologies.
• Experience with API testing, test framework architecture, and automation best practices.
• Knowledge of CI/CD pipelines and quality gates.
• Excellent analytical, debugging, and problem-solving skills.

Key Responsibilities

• Design, develop, and maintain scalable test automation frameworks using Python and Playwright.
• Build and enhance Agentic AI-powered testing solutions to improve test creation, execution, analysis, and defect prediction.
• Integrate automation frameworks with JIRA, Confluence, and XRay for seamless test management and reporting.
• Develop reusable automation components, libraries, and utilities for UI, API, and end-to-end testing.
• Leverage AI and Generative AI technologies to accelerate test design, automation, debugging, and quality engineering processes.
• Collaborate with developers, architects, product owners, and QA teams to define test strategies and quality standards.
• Ensure quality is embedded throughout the Software Development Lifecycle (SDLC) and Software Testing Lifecycle (STLC).
• Participate in CI/CD implementation and continuous quality improvement initiatives.
• Analyze test results, identify defects, conduct root cause analysis, and drive issue resolution.
• Mentor junior engineers and contribute to automation best practices and governance

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