AI Automation Engineer

ProductSquads; Ahmedabad District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology company in Ahmedabad, Gujarat is seeking a Mid-Senior level Quality Assurance professional to ensure the quality of AI and LLM-powered applications. The ideal candidate holds a Bachelor's degree in Computer Science or a related field and has 3–5 years of experience in QA testing. The role requires proficiency in both manual and automation testing. Strong analytical and communication skills are essential. This is a full-time position within a collaborative and agile team environment.

Qualifications

• 3–5 years of hands-on QA testing experience or a strong interest in testing AI/LLM-integrated applications.
• Basic understanding of how Large Language Models work within applications.
• Proven experience in both manual and automation testing.

Skills

Quality Assurance testing

Analytical Mindset

Communication

Detail-Oriented

Problem-Solving

Team Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or Data Science

Tools

Test automation tools

SQL

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 QA testing experience, or a strong interest in testing AI/LLM‑integrated applications. !!}
• 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; knowledge of databases and SQL for data validation; experience with cloud platforms and a basic understanding of microservices architecture.

Soft Skills

• Analytical Mindset: Excellent troubleshooting and analytical skills, 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Quality Assurance

Industries

Technology, Information and Internet, Software Development, IT Services and IT Consulting

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