AI Voice Engineer

Job Title

AI Voice Engineer

Experience Required

12 Years

Employment Type

Full-Time

Job Overview

We are seeking a talented and motivated AI Voice Engineer to join our growing AI team. The ideal candidate will have hands-on experience building and deploying AI-powered voice applications conversational AI systems intelligent chatbots and real-time voice agents. This role requires strong expertise in Large Language Models (LLMs) speech technologies backend integrations and modern AI frameworks.

As an AI Voice Engineer you will be responsible for designing developing and optimizing voice-driven AI solutions that deliver seamless and natural user experiences. You will work closely with product engineering and business teams to build scalable AI applications that leverage state-of-the-art language models speech recognition and voice synthesis technologies.

Key Responsibilities

• Design develop and maintain AI-powered voice assistants and conversational AI solutions.
• Integrate and optimize Large Language Models (LLMs) such as OpenAI Claude Gemini and similar platforms.
• Implement Speech-to-Text (STT) and Text-to-Speech (TTS) solutions for real-time and asynchronous voice interactions.
• Design conversational workflows prompts AI agent logic and multi-step reasoning processes.
• Develop and maintain backend services and APIs that support AI-powered applications.
• Integrate AI services with third-party systems databases and enterprise applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines and knowledge-based AI systems.
• Improve response quality latency reliability and overall user experience.
• Monitor AI application performance and continuously optimize system accuracy and efficiency.
• Collaborate with cross-functional teams to define technical requirements and deliver scalable AI solutions.
• Conduct testing debugging and performance tuning of AI applications.
• Stay updated with emerging trends frameworks and best practices in AI Voice AI and Generative AI technologies.

Required Skills & Qualifications

• 12 years of professional experience in AI/ML Conversational AI Voice AI or LLM-based application development.
• Strong proficiency in Python programming and software development best practices.
• Hands-on experience with OpenAI API Claude API Gemini API or similar LLM platforms.
• Experience working with AI orchestration and agent frameworks such as LangChain LangGraph LlamaIndex or equivalent technologies.
• Experience implementing Speech-to-Text solutions using tools such as Whisper Deepgram AssemblyAI Azure Speech Services or similar platforms.
• Experience implementing Text-to-Speech solutions using ElevenLabs Azure TTS Google TTS or comparable voice technologies.
• Strong understanding of prompt engineering conversational design and AI agent development.
• Experience building REST APIs using FastAPI or similar backend frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG) vector databases embeddings and semantic search techniques.
• Familiarity with Docker Git PostgreSQL MongoDB and modern software development workflows.
• Experience working with cloud platforms such as AWS Microsoft Azure or Google Cloud Platform (GCP).
• Strong analytical troubleshooting and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications

• Experience building production-grade Voice AI Agents AI Assistants or customer-facing conversational applications.
• Experience with real-time voice streaming technologies and WebSocket-based communication.
• Experience deploying and managing AI applications in production environments.
• Familiarity with scalable AI infrastructure monitoring and performance optimization.
• Understanding of security privacy and compliance considerations in AI-powered applications.
• Experience working with multi-agent systems and advanced AI workflow orchestration.

Portfolio Requirement

Portfolio submission is mandatory.

Candidates must provide relevant GitHub repositories live demos case studies deployed projects or technical portfolios demonstrating experience with:

• AI Applications
• Voice AI Solutions
• Conversational AI Platforms
• AI Agents
• LLM-Based Applications
• Speech-to-Text (STT) Systems
• Text-to-Speech (TTS) Solutions

Applications submitted without a portfolio or relevant project references will not be considered.