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AI Voice Systems Engineer

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About the RoleWe're seeking an experienced software engineer to lead the development of a voice AI system.Responsibilities include designing and building voice-first systems that connect phone calls to speech-to-text, language models, and text-to-speech pipelines. This involves integrating telephony platforms with real-time voice workflows, implementing solutions using Whisper, Amazon Transcribe, Google Speech, or Azure Cognitive Services, and orchestrating language models using LangChain, LlamaIndex, or equivalent frameworks.Key tasks also include developing robust APIs to write conversation outcomes into internal systems and trigger downstream actions, ensuring low-latency, scalable architecture for real-time voice interactions, and collaborating cross-functionally with product, design, and backend teams to align on goals and deliverables.Additional responsibilities involve monitoring and optimizing performance across voice latency, transcription accuracy, and language model response quality, as well as implementing SQL-based reporting for conversation analytics and system health.Requirements include 8–10 years of engineering experience, with at least 3 years in voice AI or conversational systems.Required skills include proven expertise in telephony stack integration: Twilio, Vonage, SIP, Asterisk, FreeSWITCH.Hands-on experience with STT/TTS engines: Whisper, Amazon Transcribe, Google Speech, Azure TTS.Deep understanding of LLM orchestration frameworks: LangChain, LlamaIndex, or custom prompt tooling.Strong backend development skills in Python, Node.js, or similar, with API design and integration.Experience with SQL databases and reporting pipelines.Familiarity with event-driven architectures, webhooks, and real-time data flows.Excellent problem-solving, communication, and stakeholder management skills.