Senior AI Voice Calling Engineer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

About Nyra AI

AI Voice Calling Agents


Our mission:

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


Role Overview


Senior AI Voice Calling Agent Expert / Voice AI Engineer


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.


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