Remote Senior Voice AI Engineer - Real-Time Conversations

People in AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

People In AI is seeking a hands-on software engineer to architect, build, and deploy production-grade Voice AI applications for real-time conversational experiences.

You will design low-latency audio streaming, develop scalable backend infrastructure, and integrate speech recognition and language models into reliable production systems. This role demands strong Python expertise and real-time systems experience.

Qualifications

• Ample professional software engineering experience, ideally across backend, full-stack, or applied AI product development.
• Strong Python engineering skills, including asynchronous programming, APIs, and scalable backend architectures.
• Hands-on experience building and deploying production Voice AI applications, conversational systems, or real-time audio technologies.

Responsibilities

• Architect, build, and deploy production-grade Voice AI applications supporting real-time conversational experiences.
• Design and optimize low-latency audio streaming systems and scalable backend infrastructure.
• Develop and maintain Python-based services, APIs, and asynchronous applications supporting AI-powered products.
• Integrate speech recognition, synthesis, and language models into reliable production systems.
• Solve complex technical challenges involving latency, audio quality, conversation management, and system reliability.
• Improve application performance, scalability, observability, and fault tolerance across real-time AI infrastructure.
• Evaluate emerging Voice AI technologies and contribute to architectural decisions and engineering best practices.

Skills

Python

Async programming

Backend architectures

Voice AI

Real-time systems

Tools

LiveKit

Pipecat

WebRTC

Job description

People In AI is seeking a hands-on software engineer to architect, build, and deploy production-grade Voice AI applications for real-time conversational experiences.

You will design low-latency audio streaming, develop scalable backend infrastructure, and integrate speech recognition and language models into reliable production systems. This role demands strong Python expertise and real-time systems experience.