Voice AI EngineerExperience: 3–6 Years

Location: Remote

Employment Type: Full-time

CTC: Up to ₹30 LPA

About the RoleWe are looking for a Voice AI Engineer with 3–6 years of hands-on experience building and deploying voice-based AI solutions. You will work on conversational voice systems, real-time speech processing, and AI-powered voice agents used in production environments.

The ideal candidate should have strong experience across Speech-to-Text (STT), Text-to-Speech (TTS), LLMs, conversational AI, and real-time voice pipelines.

Key Responsibilities

- Design, build, and deploy production-grade AI voice agents and conversational systems.
- Develop real-time voice pipelines integrating STT, LLMs, and TTS.
- Work with platforms and APIs such as OpenAI, Deepgram, ElevenLabs, Google Speech, Azure Speech, or similar technologies.
- Build and optimize voice interactions for latency, accuracy, reliability, and natural conversation.
- Integrate LLMs with voice applications and external APIs/tools.
- Develop conversational flows, prompts, context management, and function/tool calling.
- Work on real-time audio streaming, WebSockets, SIP/telephony integrations, and voice infrastructure.
- Implement techniques to improve speech recognition, response quality, interruption handling, and conversational experience.
- Monitor and troubleshoot production voice AI systems.
- Collaborate with product and engineering teams to build scalable AI-powered voice solutions.

Required Skills
- 3–6 years of professional experience in Voice AI / Conversational AI / Speech AI.




- Strong hands-on experience with STT, TTS, LLMs, and voice-agent development.
- Experience building real-time voice applications or AI voice agents.
- Strong programming skills in Python.
- Experience with APIs, SDKs, REST APIs, and WebSockets.
- Understanding of LLM architectures, prompt engineering, function calling, and conversational workflows.
- Experience with at least one speech/voice platform such as Deepgram, ElevenLabs, Azure Speech, Google Speech, OpenAI, AssemblyAI, or similar.
- Understanding of audio formats, streaming, latency optimization, and real-time communication.
- Experience integrating AI systems with third-party APIs and backend services.
- Valuable understanding of software engineering practices, debugging, testing, and deployment.

Good to Have
- Experience with SIP, Twilio, WebRTC, telephony APIs, or contact-center technologies.
- Experience building voice agents for customer support, sales, healthcare, finance, or other enterprise use cases.
- Experience with RAG, vector databases, and AI agent frameworks.
- Experience deploying AI applications on AWS, GCP, or Azure.
- Familiarity with Docker and cloud-based deployments.
- Experience optimizing voice AI systems for low latency and high concurrency.

What We Offer
- Remote-first work environment
- Opportunity to work on cutting-edge Voice AI and LLM applications
- High ownership and impact
- Competitive compensation of up to ₹30 LPA
- Opportunity to work with modern AI and voice technologies

📌 Senior Voice AI Engineer (India)
🏢 Betterbizs
📍 India