AI Automation Engineer

Job description
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.