Senior AI Engineer

1 week ago

Coimbatore South, India Aivar Innovations Private Limited Full time

Job Description 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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