- As a QA Engineer, you will play a key role in testing and validating our AI solutions. You will work closely with cross-functional teams of engineers, data scientists, and product managers to ensure the reliability and performance of our AI applications.

- Lead QA efforts to deliver across the entire app life cycle -concept, design, build, deploy, test using leading-edge automation frameworks such as Selenium, Cucumber and API Testing

- Build reusable prototypes with out-of-the-box thinking

- Working along with different squads to create and maintain a robust QA framework

- Keep up to date on the latest industry trends in different Automation frameworks.

- Gathering requirements, automation design, technical leadership, support API automation capabilities.

Skills & Qualifications :

- 6+ years of overall Testing experience in Product development organization, preferably in testing AI or machine learning applications.

- Knowledge of AI/ML concepts, current age AI technologies and frameworks (Generative AI, RAG, Langchain and LLM technologies, AI Agents and frameworks and prompt engineering)

- Strong understanding of software testing principles and methodologies.

- Experience with test automation tools and frameworks (e.g., Selenium, JUnit, TestNG).

- Excellent problem-solving and communication skills

- Experience in Developing, Create, prioritize, and organize test cases into logical suites for execution for Web/mobile applications

- Familiarity with defect tracking systems and test management tools

- Experience with code versioning tools, preferably Git (Github, Gitlab etc.) and the feature branch workflow

- Experience working in an Agile/Scrum environment