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Sr. AI Voice Engineer

Knight Insurance Group

Location
Onsite (Los Angeles, CA)
Employment
Full-time
Level
Senior Level
Posted 3 weeks ago

About the role

Knight Insurance Group is seeking a Senior AI Voice Engineer to design and develop real-time voice-to-voice AI agents for customer service and automation applications. The role focuses on integrating speech technologies and optimizing streaming performance to deliver scalable, production-ready conversational AI solutions.

Skills

Python C# .NET Speech Recognition Speech Synthesis Voice Activity Detection Audio Streaming LLMs REST APIs Microservices Asynchronous Programming Event-driven Architectures RAG Conversational AI AI Agent Frameworks Cloud AI Services

Full job details

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