Senior Software Engineer, Voice AI

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

Location: Remote, USA

The Company

People In AI is partnering with a growing, mission-driven AI technology company developing sophisticated conversational AI products for real-world applications.

With an established product, growing commercial adoption, and significant investment in its technology, the company is expanding its engineering capabilities to support its next phase of growth.

This is a hands-on engineering opportunity for someone who enjoys solving challenging software problems, building production-ready AI applications, and influencing technical architecture. You'll join a highly collaborative engineering environment with significant autonomy, direct product impact, and the opportunity to shape the development of a growing AI platform.

What You'll Do

• 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.

What You'll Bring

• 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.
• Experience with modern real-time communication frameworks such as LiveKit, Pipecat, WebRTC, or comparable technologies.
• Familiarity with audio streaming, speech-to-text, text-to-speech, telephony, or integrating AI models into production applications.
• Strong software engineering fundamentals, including system design, performance optimization, and production reliability.