AI Voice Engineer

Westlake Services, LLC; Los Angeles (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Westlake Services, LLC is seeking an experienced software engineer to design and develop real-time voice-to-voice AI agents. You will build conversational AI systems using LLMs and agent frameworks, and integrate Speech-to-Text and Text-to-Speech technologies into production applications.

You will optimize latency for natural conversations, develop back-end services in Python and C#/.NET, and collaborate with product managers and AI engineers to deliver robust AI solutions.

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 ASR, TTS, VAD, and audio streaming with low latency.
• 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.

Responsibilities

• Design and develop real-time voice-to-voice AI agents.
• Build conversational AI systems using LLMs and agent frameworks.
• Integrate STT and 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 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.

Skills

Voice-to-voice AI applications

Python

C#/.NET

ASR (Speech Recognition)

TTS (Speech Synthesis)

VAD (Voice Activity Detection)

Audio streaming

REST APIs

Microservices

Asynchronous programming

Event-driven architectures

Real-time streaming

LLMs / AI APIs

Debugging / problem-solving

Education

Bachelor's or Master's in Computer Science, Software Engineering, AI or related field

Tools

WebRTC

SIP / RTP

Azure AI / OpenAI services

Docker

Kubernetes

Job description

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)
• 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

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
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