QA engineer wit AI

Required Technical Skills & Qualifications

• Experience:  2 to 5 years of professional experience in software quality assurance with a heavy focus on automation.
• Web Automation:  Proven expertise with automation tools and frameworks such as  Selenium ,  Playwright , or  Cypress .
• Programming:  Strong coding skills in languages like  Java / Python  (highly preferred for AI/ML tooling) or  JavaScript/TypeScript .
• AI/LLM Familiarity:  Hands-on experience working with, testing, or prompting AI models (e.g., OpenAI API, Anthropic, open-source LLMs).
• API Testing:  Proficient in testing RESTful APIs using tools like Postman, SoapUI, or automated libraries (e.g., Requests, Supertest).
• Tools & Ecosystem:  Familiarity with Git, JIRA, and CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab)