Sr. AI Voice Engineer

Midway Auto Group; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Midway Auto Group is seeking an experienced engineer to design and develop real-time voice-to-voice AI agents. You will build conversational systems using LLMs and agent frameworks, and integrate STT/TTS technologies into production applications.

Thorough knowledge of ASR, TTS, VAD, and audio streaming is required, with hands-on Python and C#/.NET experience. You will optimize latency, collaborate with product managers, and continuously improve voice platforms.

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.
• 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 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

Speech recognition

Text-to-Speech

VAD

Python

C#/.NET

REST APIs

Microservices

Async programming

Real-time streaming

Debugging

Problem solving

Education

Bachelor's/Master's in CS/AI

Tools

Docker

Kubernetes

Azure AI

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

• 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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