AI Automation Engineer

Required Qualifications:

- Education: Bachelor's degree in Computer Science, Engineering, Data Science, or related technical - field. - Experience: 3–5 years of hands-on experience in QA testing with experience or strong interest in - testing applications that integrate with AI/LLM services. - LLM Application Knowledge: Basic understanding of how Large Language Models work within - applications, API integrations, and conversational AI user interfaces. - Testing Expertise: Proven experience in both Manual and Automation Testing with deep - understanding of SDLC, STLC, and AI-specific testing methodologies. - Technical Skills: - Proficiency in test automation tools and frameworks - Strong API testing experience (Postman, REST Assured, etc.) - Understanding of web technologies (HTML, CSS, JavaScript basics) - Knowledge of databases and SQL for data validation - Experience with cloud platforms and basic understanding of microservices architecture

Soft Skills:

- Analytical Mindset: Excellent troubleshooting and analytical skills with ability to think critically - about application behavior and identify potential issues in LLM-powered features. - Detail-Oriented: Meticulous attention to detail when testing conversational flows, user - interactions, and application responses. - Communication: Strong written and verbal communication skills to effectively test conversational - AI and collaborate with development teams. - Adaptability: Ability to quickly learn new technologies related to LLM applications and adapt - testing strategies for evolving AI-powered features. - Problem-Solving: Proactive approach to identifying edge cases and potential user experience - issues in LLM applications. - Team Collaboration: Experience working in cross-functional teams with Backend Developers, - Frontend Developers, and Product teams in an Agile environment.