Qa Engineer with AI

AI  Experience is mandatory

Key Responsibilities

1.  AI  & Prompt Engineering Validation

·   Design, develop, and execute test cases specifically for  AI /ML models, generative  AI  features, and LLM integrations.

·   Apply  Prompt Engineering  techniques to evaluate model robustness, check for edge cases, and prevent hallucinations or adversarial exploits (jailbreaking).

·   Validate the accuracy, relevance, and safety of  AI -generated responses against defined benchmarks.

2. Web Application & Automation Testing

·   Build, maintain, and scale robust test automation frameworks for modern web applications.

·   Integrate automated test suites into the continuous integration/continuous deployment (CI/CD) pipeline.

·   Conduct thorough functional, regression, integration, and API testing to ensure flawless user experiences.

3. Strategy & Collaboration

·   Collaborate closely with Developers, Data Scientists, and Product Managers to understand  AI  model behavior and product requirements.

·   Identify, document, and track software defects using agile tools, providing detailed steps to reproduce.

·   Advocate for  QA  best practices, specifically regarding data privacy and bias in  AI  testing.

  Required Technical Skills & Qualifications

·   Experience:  0 to 2 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)