Sr. AI Voice Engineer

Posted 7 Days Ago
Be an Early Applicant
Los Angeles, CA, USA
In-Office
Senior level
Financial Services
The Role
Design and develop real-time voice-to-voice AI agents and conversational systems using LLMs, agent frameworks, speech recognition, speech synthesis, and streaming technologies. Build Python and C#/.NET backend services, APIs, integrations, memory, tool-calling, and RAG workflows. Optimize latency, monitor reliability, evaluate emerging AI technologies, and collaborate with product and engineering teams to deliver production-ready voice solutions.
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, speech synthesis, voice activity detection, 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 (RAG)
  • Experience with 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
1,054 Employees
Year Founded: 1988

What We Do

People. Purpose. Passion. These are the hallmarks of Westlake Financial Services, and have been since our inception in 1988. Westlake specializes in prime to sub-prime automotive financing, helping car dealerships do what they do best: sell cars. Our unique credit approval software (known as "The Buy Program ©"​) allows dealers to get an on-the-spot loan approval with out waiting for callbacks, fax-backs, or rehashes. Westlake Financial is an Internet based, privately held finance company that specializes in the acquisition and servicing of prime, sub-prime, and non-prime automotive retail installment contracts. Headquartered in Southern California, Westlake originates indirect retail installment contracts through a network of 21,000 new and used car dealers throughout the United States. All collections and servicing are performed in-house from its central facility located in the Mid-Wilshire area of Los Angeles. Westlake's success didn't just happen overnight. It took years of hard work, cultivation, and smart intuition to get to where we are today. Not content to rest on our laurels, Westlake continues to build and refine, always keeping our dealers and customers in mind. Looking for a Career in auto finance, please view the following link: https://www.westlakefinancial.com/careers/

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