Senior AI Voice Engineer

Hankey Group

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

Posted 10/9/2026full-timeLos Angeles • California • United StatesSenior💰 $300,000 per yearWebsite

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#/.NETREST APIs and Microservices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Real-Time Voice AI DevelopmentSpeech Recognition (ASR)Speech Synthesis (TTS)Voice Activity Detection (VAD)Audio StreamingLow-Latency CommunicationAsynchronous ProgrammingEvent-Driven ArchitecturesDebugging and Problem-SolvingAI API Consumption

Soft Skills

Analytical SkillsCollaboration

Tools & Technologies

Azure AIAzure OpenAIDockerKubernetesCI/CD PipelinesWebRTCSIPRTP

Industry Keywords

Conversational AIAI Agent FrameworksRetrieval-Augmented Generation (RAG)Voice StreamingTelephony Integrations

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
Preferred: experience with 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