Required Qualifications:

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or related technical
field.
Experience: 35 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.

AI Automation Engineer