Senior AI Voice Engineer

Nowcom

. Design and develop real-time voice-to-voice AI agents .

Posted 9/24/2026full-timeLos Angeles • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing real-time voice-to-voice AI agents, integrating Speech-to-Text and Text-to-Speech technologies, and optimizing performance for natural conversations. Proficient in backend development using Python and C#/.NET, with a strong understanding of AI models and voice technologies.

Highest-signal resume keywords

Voice-to-Voice AI ApplicationsSpeech Recognition (ASR)Speech Synthesis (TTS)Python and C#/.NETReal-Time Streaming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentREST APIsMicroservicesAsynchronous ProgrammingEvent-Driven ArchitecturesDebuggingAnalytical SkillsProblem-Solving SkillsVoice Activity Detection (VAD)Audio Streaming

Soft Skills

CollaborationCommunication

Tools & Technologies

AI Agent FrameworksRetrieval-Augmented Generation (RAG)WebRTCSIPRTPAzure AIAzure OpenAIDockerKubernetesCI/CD Pipelines

Industry Keywords

Conversational AIVoice StreamingTelephony IntegrationsCloud-Native Application DevelopmentAI Models

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesMicroservicesPython.NET

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)
Strong understanding of Speech Synthesis (Text-to-Speech - TTS)
Strong understanding of Voice Activity Detection (VAD)
Strong understanding of 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
Experience with real-time conversational AI platforms, AI agent frameworks, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering and evaluation, WebRTC, SIP, RTP, telephony integrations, Azure AI, Azure OpenAI, Docker, Kubernetes, CI/CD pipelines, and cloud-native application development is preferred

Benefits

Comp & perks

No relocation assistance provided