Overview

Job Title: Senior AI/ML Developer Voice AI

Responsibilities

• Strict Eligibility Notice: This is a senior-level position. Candidates must have a minimum of 5 years of hands-on professional AI/ML development experience. Applications with less than 5 years will be automatically filtered out.
• Voice AI Architecture: Design, build, and deploy low-latency, production-ready Voice AI and real-time conversational pipelines.
• LLM & Speech Integration: Work with STT, TTS, Voice Activity Detection (VAD), LLMs, and NLP frameworks to power natural, real-time voice interactions.
• Backend & API Engineering: Build scalable backend microservices in Python, integrating AI models with enterprise APIs, databases, and third-party platforms.
• Performance Optimization: Fine-tune models and optimize pipelines for latency, high throughput, accuracy, and infrastructure costs.
• Advanced AI Implementation: Implement RAG, vector database retrieval, prompt engineering, embeddings, and function calling into voice systems.
• Deployment & Infrastructure: Manage and scale AI workloads on GPU-based cloud infrastructure or on-premise environments.
• Engineering Leadership: Maintain production system reliability, troubleshoot issues, and mentor junior AI/ML engineers.

Qualifications

• Compensation: 10,00,000 18,00,000 LPA
• About the RoleInfolabs Global is seeking a hands-on Senior AI/ML Developer specializing in Voice AI and Conversational Systems to join our core AI engineering team.
• Programming: Expert-level proficiency in Python.
• Frameworks: Strong hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent modern AI frameworks.
• LLMs & GenAI: Proven experience building applications powered by LLMs, GenAI, and deep learning architectures.
• Engineering & Deployment: Expertise in building backend APIs, containerization (Docker), CI/CD, Git, and deploying AI workloads on GPU infrastructure.
• Problem Solving: Deep technical troubleshooting, analytical, and architecture design capabilities.
• Preferred Experience (Voice AI Focus)
• LiveKit / LiveKit Agents experience (Highly Preferred).
• Real-time audio streaming protocols, WebRTC, SIP, and telephony integrations.
• Hands-on work with Voice Activity Detection (VAD), noise suppression, and audio enhancement.
• Voice cloning, custom TTS tuning, and multilingual speech models.
• Engineering low-latency LLM + Voice pipelines for real-time calling/conversational agents.
• Additional Advantages
• Knowledge of Vector Databases, RAG, Agentic AI, MCP (Model Context Protocol), and Function Calling.
• Hardware acceleration experience: CUDA, TensorRT, GPU memory optimization.
• Infrastructure experience with Kubernetes, AWS, Azure, or on-premise AI deployments.
• How to ApplyIf you meet the 5+ years requirement and have hands-on experience building real-time Voice AI systems, please submit your resume along with a summary or portfolio of your production AI projects to hidden_email. .