Chief Conversational Systems Architect

6 days ago

bhavnagar, India beBeeAI Full time

We are seeking a seasoned Senior AI Engineer to lead the development of an intelligent, automated voice agent capable of handling real-time customer conversations. This role blends telephony integration, speech recognition, LLM orchestration, and backend API connectivity to deliver seamless, human-like interactions.About the JobWe're looking for a highly skilled engineer to design and build voice-first AI systems that connect phone calls to STT, LLM, and TTS pipelines. The ideal candidate will have expertise in integrating telephony platforms with real-time voice workflows, implementing STT/TTS solutions, and orchestrating LLMs using LangChain or equivalent frameworks.Design and build voice-first AI systems that integrate phone calls with STT, LLM, and TTS pipelines.Integrate telephony platforms (Twilio, Vonage, SIP, Asterisk, FreeSWITCH) with real-time voice workflows.Implement STT/TTS solutions using Whisper, Amazon Transcribe, Google Speech, or Azure Cognitive Services.Orchestrate LLMs using LangChain, LlamaIndex, or equivalent frameworks to manage prompts, tools, and function calls.Develop robust APIs to write conversation outcomes into internal systems and trigger downstream actions.Ensure low-latency, scalable architecture for real-time voice interactions.Collaborate cross-functionally with product, design, and backend teams to align on goals and deliverables.Monitor and optimize performance across voice latency, transcription accuracy, and LLM response quality.Implement SQL-based reporting for conversation analytics and system health.RequirementsThe ideal candidate should have:8–10 years of engineering experience, with at least 3 years in voice AI or conversational systems.Key SkillsThe candidate should possess: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.

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