Quality Assurance Engineer (Gleo AI)

About this role

Validate AI-powered voice recognition services in vehicle IVI systems by establishing quality benchmarks, designing comprehensive test scenarios, and ensuring backend stability. Drive service reliability through metrics-based analysis, defect reproduction, and continuous process improvement.

What you'll do

• Design test scenarios and quality metrics for voice recognition accuracy, recognition rates, and tone/manner evaluation
• Configure verification environments including real vehicles, head units, emulators, and audio chambers with TTS/STT engines and LLM APIs
• Perform validation across diverse conversation flows to assess context retention, response relevance, and multi-turn dialogue quality
• Build automation scripts for voice input and API testing integrated with CI/CD pipelines
• Analyze logs, recordings, and LLM response data to produce quality dashboards and stakeholder reports
• Refine quality metrics, testing procedures, and reproducibility standards for voice and conversational services

What they're looking for

• Voice recognition and conversational AI testing (3+ years)
• Test scenario design and quality reporting
• LLM, STT/TTS engine verification
• Network environments (3G/LTE/5G, Wi-Fi, Bluetooth)
• Linux/Android log analysis
• English communication (verbal and written)
• Test automation scripting (Python, adb preferred)
• LLM prompt and response quality evaluation (preferred)