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AI Engineer

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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

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