Middle QA/ Automation Test Engineer

Job description

1. Automation Testing (Core Focus):

• Design, build, and maintain automated test scripts using frameworks such as Playwright, Selenium, or Cypress for core system workflows.
• Integrate automated test suites into CI/CD pipelines to ensure release quality and continuous delivery.
• Perform API testing (using Postman, RestAssured, or API automation libraries) and execute regular regression testing.

2. Test Strategy & Quality Mindset:

• Analyze business requirements (SRS/User Stories) and Acceptance Criteria to create comprehensive Test Plans and Test Cases covering Happy Paths, Edge Cases, and Boundary Conditions.
• Conduct functional testing (Web/App UI), workflow validations, and perform SQL database checks to verify data integrity and consistency.
• Log, track, and manage defect lifecycles on Jira; collaborate closely with Developers and PMs to resolve issues efficiently.

3. AI & LLM Feature Testing:

• Test AI/LLM-driven product features (e.g., AI Chatbots, automated data extraction, RAG workflows).
• Evaluate AI output quality based on established criteria: accuracy, completeness, source attribution, and detection of AI hallucinations (incorrect or fabricated responses).
• Test different prompt variations to compare performance, answer stability, and response consistency.
• Leverage modern AI tools (ChatGPT, Claude, Copilot) to accelerate test case generation, test data creation, and script writing.

Your skills and experience

1. Experience & Quality Assurance:

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.
• 2–4 years of experience in software testing (Manual and Automation).
• Strong QA Mindset: Excellent analytical skills, attention to detail, strong logic for identifying system flaws, edge cases, and effective bug-hunting.

2. Automation & Tech Stack (Must-have):

• Proficiency in at least one UI Automation framework (Playwright, Selenium, or Cypress) with corresponding programming languages (JavaScript/TypeScript, Python, or Java).
• Solid hands-on experience in API testing with Postman or API automation libraries.
• Proficiency in writing SQL queries to query, validate, and verify system database records.

3. AI Exposure & Willingness to Learn:

• Prior experience testing AI/LLM features OR active use of GenAI assistants (ChatGPT, Claude, etc.) in daily QA workflows.
• Open, curious mindset with a strong passion for specializing in AI Quality Assurance.

Why you'll love working here

• Hands-on experience testing GenAI applications, LLM Chatbots, or Big Data systems.
• Familiarity setting up CI/CD test automation pipelines (GitHub Actions, GitLab CI, Jenkins).
• Basic understanding of RAG (Retrieval-Augmented Generation) architecture or prompt engineering principles.