Senior Ai Engineer

8 hours ago

Coimbatore Tamil Nadu, India Aivar Innovations Private Limited Full time

Senior AI Engineer - Voice AI STT TTS Position Title Senior AI Engineer - Voice AI Speech-to-Text Text-to-Speech Reports To Engineering Lead Voice AI Location Coimbatore Preferred Experience Level 5 years About the Role We are seeking exceptional Senior AI Engineers to lead the development and optimization of enterprise-grade speech processing capabilities within Convogent AI our conversational agentic AI voice platform You will own the end-to-end architecture performance optimization and multi-lingual intelligence of our voice AI systems that power human-like autonomous voice agents for regulated industries Core Responsibilities Design and architect production-grade STT TTS pipelines handling 250 concurrent voice sessions with sub-100ms latency requirements Develop and fine-tune multi-lingual LLM models to enable authentic conversations across diverse linguistic landscapes with contextual awareness and natural flow Integrate and optimize industry-leading platforms ElevenLabs Deepgram and custom solutions while maintaining flexibility for customer-specific STT TTS requirements Implement advanced features including accent variation human-like prosody emotion detection objection handling and ambient noise management Drive performance optimization initiatives for inference latency throughput and cost efficiency across voice processing stacks Establish best practices for model evaluation A B testing and continuous improvement of voice quality metrics Must-Have Qualifications Deep STT TTS Expertise Proven track record building production systems with ElevenLabs Deepgram or equivalent platforms understanding of underlying models and optimization techniques Multi-lingual LLM Expertise Expert-level knowledge of LLM architectures transformers attention mechanisms fine-tuning with demonstrated experience deploying multi-lingual models in production AI ML Systems Strong foundation in ML ops model optimization quantization pruning distillation and deployment frameworks ONNX TensorRT vLLM Python Proficiency Advanced Python expertise for model development optimization and integration testing Cloud Infrastructure Hands-on experience with AWS services SageMaker Bedrock Lambda EC2 or equivalent platforms Production Mindset Experience shipping AI products at scale with focus on latency reliability and monitoring Nice-to-Have Qualifications Experience with speech synthesis evaluation metrics and voice quality assessment frameworks Knowledge of conversational AI architecture and dialogue management systems Contributions to open-source voice AI projects or published research in speech processing Experience with containerization Docker Kubernetes and CI CD pipelines for ML models Familiarity with regulated industry requirements financial services healthcare for voice systems Background in NLP phonetics or linguistics Experience optimizing models for edge deployment or resource-constrained environment What You ll Work With Advanced voice processing frameworks and LLM infrastructure Multi-tenancy cloud platforms deployed on AWS with enterprise-grade monitoring Cutting-edge models including GPT-4 Claude and specialized voice models Collaborative teams building enterprise accelerators for regulated industries Mentor junior engineers and collaborate cross-functionally with platform infrastructure and product teams

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