Senior AI Voice Calling Engineer

About Nyra AI

Nyra AI is building the future of

AI Voice Calling Agents

— intelligent systems that can call, converse, understand, and take real actions autonomously.

Our mission :

To make voice-based automation as capable, empathetic, and reliable as a human conversation.

Role Overview

We’re looking for a

Senior AI Voice Calling Agent Expert / Voice AI Engineer

who can join our founding team and

lead the development of our core AI voice calling product from day one .

You should be someone who lives and breathes conversational AI, voice tech, and intelligent agent design — and can turn raw ideas into production-grade systems

without step-by-step training .

You’ll work directly with the founders to build, optimize, and scale Nyra’s HCS voice intelligence framework.

Key Responsibilities

Architect and develop AI

Voice Calling Agents

capable of natural human-like conversations.

Integrate

TTS / STT engines

(e.g., ElevenLabs, Azure, OpenAI, Whisper, Speechmatics, etc.) for high-fidelity voice experiences.

Build and fine-tune

LLM-driven conversational logic

(GPT-based or custom) for adaptive, context-aware responses.

Create and optimize

conversation flows

for appointment booking, reminders, feedback, and predictive calls.

Implement

API integrations

with HMS, CRM, or other backend systems.

Collaborate on developing the

Nyra Integration SDK

for plug-and-play hospital deployment.

Continuously improve agent performance through data feedback and iterative tuning.

Tech Stack We Work With (Preferred Experience)

Languages :

Python, Node.js, or Go

Frameworks / Tools :

LangChain, Vapi, Whisper, ElevenLabs, Twilio, Vonage, or Asterisk

LLMs :

OpenAI GPT, Anthropic Claude, Mistral, or fine-tuned domain models

Voice Stack :

Real-time STT / TTS, telephony APIs, WebRTC

Integrations :

REST APIs, hospital management systems, CRMs, webhooks

Bonus :

Experience building end-to-end

voice agents or call automation systems

You’re the Right Fit If

You’ve already built or deployed

AI voice agents

or

real-time calling systems

before.

You’re comfortable designing

end-to-end voice workflows

— from call initiation to data sync.

You understand

LLM reasoning ,

prompt chaining , and

agentic architectures .

You can

build fast, test fast, and iterate fast

— working directly with the founder on mission-critical tech.

You thrive in startup chaos, love ownership, and prefer impact over comfort.