Voice Engineer

We’re looking for a Voice AI Engineer to design, develop, and deploy an intelligent AI voice calling system. You'll architect end-to-end pipelines that include speech recognition, intent detection, AI-generated responses, and human handoff. The ideal candidate is an expert in voice automation, telephony, and LLM integrations, with hands-on experience building tools like AI-powered IVRs, booking agents, and support bots. Key Responsibilities Design and build voice AI workflows (inbound and outbound) using Twilio Voice, Google Dialogflow, or custom pipelines. Integrate LLMs (OpenAI, Anthropic, etc.) for natural language understanding and response generation. Implement Speech-to-Text and Text-to-Speech using Google Cloud, AWS, Azure, or Whisper. Develop logic for IVR routing, call recording, voicemail handling, and live agent transfers. Handle error recovery, fallback flows, and conversational edge cases. Ensure compliance with privacy, consent, and call-recording laws (HIPAA, GDPR, etc.). Optimize for call latency, interruption handling, and human-like tone. Requirements 3+ years of experience building voice systems or IVRs Strong experience with Twilio Voice, Call Control Objects (TwiML), and SIP Hands-on with OpenAI / GPT APIs, Whisper, or other LLMs/NLP systems Experience with Google Cloud Speech, AWS Polly, or Azure Cognitive Services Proficiency in Node.js or Python Experience with call analytics, transcription, sentiment detection, etc. Familiarity with voice UX design, turn-taking, confirmation prompts, and fallback design Bonus Points For Built a full AI calling assistant or IVR for booking, support, or claims Integrated with CRM, calendar, or ticketing systems Familiar with agentic frameworks for chaining AI actions Experience with HIPAA or enterprise-grade security Show more Show less