AI Engineer
Summary
Develops and deploys voice-based AI systems, integrating speech-to-text, text-to-speech, and LLM APIs while improving accuracy, latency, and reliability.
- Build voice and conversational data pipelines
- Debug AI voice issues
- Design voice based AI applications
- Develop and deploy AI/ML models
- Develop conversational systems
- Develop testing and evaluation frameworks
- Evaluate model performance
- Improve voice AI accuracy latency reliability
- Integrate speech to text
- Integrate text to speech
- Integrate third party AI speech LLM APIs
- Monitor AI model performance