Senior AI/ML Developer – Voice AI

Infolabs Global; Delhi; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Infolabs Global is seeking a hands-on Senior AI/ML Developer specializing in Voice AI and Conversational Systems to join our core AI engineering team. You will take end‑to‑end ownership of building, optimizing, and deploying production‑grade, low‑latency Voice AI applications.

You will work on STT, TTS, LLMs, real‑time audio streaming, and voice agent architecture. We are looking for an experienced developer who thrives on architecture design, GPU optimization, latency reduction, and shipping

Qualifications

• 5+ years of professional AI/ML software development experience.
• Expert-level proficiency in Python.
• Strong hands-on experience with PyTorch, TensorFlow, Hugging Face, or equivalent modern AI frameworks.
• Proven experience building applications powered by LLMs, GenAI, and deep learning architectures.
• Expertise in building backend APIs, containerization (Docker), CI/CD, Git, and deploying AI workloads on GPU infrastructure.
• Deep technical troubleshooting, analytical and architecture design capabilities.

Responsibilities

• 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, VAD, LLMs, and NLP frameworks for real-time voice interactions.
• Backend & API Engineering: Build scalable backend microservices in Python, integrating AI models with enterprise APIs and databases.
• Performance Optimization: Fine-tune models and optimize pipelines for latency, throughput, accuracy, and costs.
• Advanced AI Implementation: Implement RAG, vector retrieval, prompt engineering, embeddings, and function calling in voice systems.
• Deployment & Infrastructure: Manage and scale AI workloads on GPU-based cloud or on-prem environments.
• Engineering Leadership: Maintain production system reliability and mentor junior AI/ML engineers.

Skills

Python

PyTorch

TensorFlow

Hugging Face

Tools

Docker

CUDA

Job description

Job Title: Senior AI/ML Developer – Voice AI

Company: Infolabs Global

Employment Type: Full-Time

Experience Required: Minimum 5+ Years (Mandatory)

Job Title: Senior AI/ML Developer – Voice AI

Company: Infolabs Global

Location: Noida Sector 62, India (On‑Site)

Employment Type: Full-Time

Experience Required: Minimum 5+ Years (Mandatory)

Compensation: ₹10,00,000 – ₹18,00,000 LPA

About the Role

Infolabs Global is seeking a hands‑on Senior AI/ML Developer specializing in Voice AI and Conversational Systems to join our core AI engineering team.

In this role, you will take end‑to‑end ownership of building, optimizing, and deploying production‑grade, low‑latency Voice AI applications. You will work on the bleeding edge of Speech-to-Text (STT), Text-to-Speech (TTS), Large Language Models (LLMs), real‑time audio streaming, and voice agent architecture. We are looking for an experienced developer who thrives on architecture design, GPU optimization, latency reduction, and shipping real‑world AI systems to production.

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.

Key Responsibilities

• 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.

Required Qualifications & ExperienceMandatory Requirements

• Experience: 5+ years of professional, hands‑on experience in AI/ML software development.
• 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.