QA Tester AI & LLM Platforms

We are seeking a QA Tester / QA Engineer with proven expertise in AI, Generative AI, and Large Language Model (LLM) applications. The ideal candidate will possess robust knowledge of manual testing, AI model validation, API testing, performance analysis, and automation frameworks.

Responsibilities:

• Execute functional, regression, smoke, sanity, integration, and exploratory tests across diverse systems.
• Audit AI chat interfaces and LLM-based applications supporting multiple models.
• Validate generated content including text, images, and videos for quality standards.
• Analyze model switching mechanisms and ensure response accuracy.
• Verify conversation context handling in multi-turn interactions.
• Simulate scenarios involving regeneration, retries, error management, and system failures.
• Evaluate AI responses for quality, precision, consistency, and relevance.
• Assess credit usage limits, consumption calculations, and rate restrictions per model.
• Analyze response latency and overall performance metrics.
• Verify handling of timeouts, API errors, unavailability, and anomalous outputs.
• Evaluate various prompt types and edge cases.
• Conduct API testing using Postman.
• Perform basic database validation with SQL.
• Execute load testing via JMeter or Locust.
• Develop and run comprehensive AI/LLM test scenarios.
• Track defects systematically using JIRA.
• Ensure cross-browser compatibility and mobile responsiveness.
• Automate critical workflows using Playwright or Selenium.
• Collaborate within Agile teams involving developers, product managers, and QA engineers.