Sr. AI Voice Engineer

Midway Auto Group; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Midway Auto Group is seeking an experienced software engineer to design and build real-time voice-to-voice AI agents for customer interactions and internal automation. This on-site role focuses on leveraging LLMs and agent frameworks to deliver production-ready solutions.

You will integrate STT/TTS, optimize streaming latency, and develop backend services in Python and C#/.NET while collaborating with product teams to push AI capabilities forward. Equal opportunity employer.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on experience building voice-to-voice AI applications.
• Strong understanding of ASR, TTS, VAD and real-time streaming.
• Experience consuming AI APIs and working with LLMs.
• Experience building REST APIs and microservices.
• Proficiency with Python and C#/.NET.

Responsibilities

• Design and develop real-time voice-to-voice AI agents.
• Build conversational AI systems using LLMs and agent frameworks.
• Integrate STT and TTS 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 memory, tool calling, function execution, and RAG workflows.
• Collaborate with product managers, AI engineers, and software developers.
• Evaluate emerging AI models and voice platforms.
• Monitor, troubleshoot, and improve voice agent performance.

Skills

Voice-to-Voice AI

Python

C#/.NET

LLMs & AI APIs

REST APIs

Microservices

ASR

TTS

VAD

Real-time streaming

Education

Bachelor's or Master's in CS/SE/AI

Tools

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)
• 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

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 understand ing 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.