Sr. AI Voice Engineer

Posted Yesterday
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Los Angeles, CA, USA
In-Office
Senior level
Automotive • Sales • Financial Services
The Role
Design and develop real-time voice-to-voice AI agents using LLMs, speech recognition, speech synthesis, streaming, and agent frameworks. Build Python and C#/.NET backend services, APIs, telephony integrations, and RAG workflows. Optimize latency, reliability, and conversational performance while evaluating emerging AI technologies and collaborating with product and engineering teams.
Summary Generated by Built In

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
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • 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, ASR, TTS, 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
  • Experience with real-time conversational AI platforms
  • Experience with AI agent frameworks
  • Experience with Retrieval-Augmented Generation and vector databases
  • Experience with prompt engineering and evaluation
  • Experience with WebRTC, SIP, RTP, or telephony integrations
  • Experience with Azure AI, Azure OpenAI, or other cloud AI services
  • Experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and cloud-native application development
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The Company
HQ: Los Angeles, CA
37 Employees

What We Do

Headquartered in Los Angeles, California, the Hankey Group comprises eight operating companies specializing primarily in the automotive, finance, technology, real estate, and insurance industries. Beginning in 1972, the Hankey family acquired a 100% interest in the Midway Ford dealership, and guided by the focused vision and unparalleled leadership of its principal, Mr. Don Hankey, the group has undergone a remarkable transformation over the past 50 years. Our strong leadership has been paired with unrivaled execution. With over 5,000 employees, and approximately 2,000 residing in Southern California, the Hankey Group has evolved by promoting personal development, employee growth, and retention within the organization.

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