Description

You will design and execute large-scale testing strategies for in-car voice assistants powered by AI systems.

Responsibilities

• Develop and maintain test plans for voice-based AI systems and in-car assistant platforms.
• Design test strategies for LLM interactions, modeling scenarios to validate conversational accuracy and safety.
• Build automation tools and pipelines to evaluate voice interactions and LLM outputs for quality and edge-case behavior.
• Collaborate with engineering teams to simulate real-world in-car assistant environments.
• Analyze logs, triage anomalies, and report defects to drive resolution.

Required Skills

• Proficiency in scripting using Python for test automation and data handling.
• Experience with Test Case Design and bug tracking tools.
• Strong analytical mindset to simulate nuanced user behaviors beyond expected results.
• Understanding of QA within SDLC/STLC and continuous delivery environments.
• Familiarity with AI/LLMs testing principles.
• Experience testing APIs or data-intensive systems.

Key Skills

Education

Any Graduate