AI Voice Engineer

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

• 1–2 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

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 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.