JobHabor

AI Voice Engineer

Nowcom
Location
Los Angeles, CA, USA
Workplace
Onsite
Employment
Full Time
Salary
Apply on the employer’s site

Posted 1mo ago

This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance, and automation applications. This is an on-site position with no relocation assistance provided.

If you're passionate about conversational AI and enjoy solving challenging engineering problems, we'd love to hear from you.

  • Responsibilities
  • Design and develop real-time voice-to-voice AI agents.
  • Build conversational AI systems using LLMs and agent frameworks.
  • Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies into production applications.
  • Optimize latency and streaming performance for natural conversations.
  • Develop backend services and APIs using Python and C#/.NET.
  • Integrate with telephony, voice streaming, and communication platforms.
  • Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows.
  • Collaborate with product managers, AI engineers, and software developers to deliver production-ready AI solutions.
  • Evaluate emerging AI models, speech technologies, and voice platforms.
  • Monitor, troubleshoot, and continuously improve voice agent performance and reliability.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • 5+ years of professional software engineering experience.
  • Hands-on experience building voice-to-voice AI applications.
  • Strong understanding of:
  • Speech Recognition (Automatic Speech Recognition - ASR)
  • Speech Synthesis (Text-to-Speech - TTS)
  • Voice Activity Detection (VAD)
  • Audio streaming and low-latency communication
  • Professional experience with Python and C#/.NET.
  • Experience consuming AI APIs and working with LLMs.
  • Experience building REST APIs and microservices.
  • Knowledge of asynchronous programming, event-driven architectures, and real-time streaming.
  • Strong debugging, analytical, and problem-solving skills.

Preferred Qualifications

Experience with one or more of the following

  • Real-time conversational AI platforms
  • AI agent frameworks
  • Retrieval-Augmented Generation (RAG)
  • Vector databases
  • Prompt engineering and evaluation
  • WebRTC, SIP, RTP, or telephony integrations
  • Azure AI, Azure OpenAI, or other cloud AI services
  • Docker and Kubernetes

CI/CD pipelines and cloud-native application development

Skills

  • Python
  • C#
  • .NET
  • LLMs
  • REST APIs
  • WebRTC
  • SIP
  • RTP
  • Azure AI
  • Azure OpenAI
  • Docker
  • Kubernetes

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