Description

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

This role is hybrid.

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

• 5+ years of experience in software testing and QA.
• Proficiency in Python for test automation and data handling.
• Experience with Test Case Design and Bug Tracking Tools.
• Understanding of QA within SDLC/STLC and continuous delivery environments.
• Familiarity with AI/LLMs testing principles.
• Experience testing APIs or data-intensive systems.
• Proficiency with Grafana and Kibana for log analysis and monitoring.

Key Skills

Education

Any Graduate