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AI Agentic Developer, Voice AI & Autonomous Sales CRM

USG, Inc.United States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
DockerLLMPythonGenerative AIRESTAzureLangChainLangGraph

Job description

Job Title: AI Agentic Developer, Voice AI & Autonomous Sales CRM

Location: Remote (USA)
Employment Type: Contract, Immediate Start

About the Role

We’re looking for a hands-on engineer to build real-time, voice-enabled autonomous AI agents for next-generation Sales CRM workflows. You’ll combine low-latency voice streaming, stateful multi-agent orchestration, and production-grade backend engineering to ship agents that can hold natural conversations and act inside a CRM.

What You’ll Do

  • Build conversational voice agents using LiveKit Agents, Pipecat, or similar real-time frameworks
  • Design and tune STT and TTS pipelines for low latency and natural-sounding conversation
  • Engineer real-time audio streaming over WebSockets/WebRTC, including VAD, dynamic interruption handling, and turn-taking logic
  • Build stateful, multi-agent workflows with tool calling using LangGraph and LangChain
  • Integrate multiple LLM providers (OpenAI, Anthropic Claude, Google Gemini)
  • Use graph-based architectures, graph databases, and GraphRAG for knowledge retrieval and contextual grounding
  • Build and integrate REST APIs, and ship containerized services with tracing and evaluation in place

Required Skills

  • Strong Python with robust asynchronous programming (asyncio) and scalable backend design
  • Hands-on experience with LiveKit Agents, Pipecat, or equivalent voice agent frameworks
  • STT experience: Deepgram, Whisper, AssemblyAI, or equivalent
  • TTS experience: ElevenLabs, OpenAI TTS, Azure Speech, or equivalent
  • Real-time audio streaming (WebSockets/WebRTC), low-latency pipelines, VAD, interruption handling
  • LangGraph and LangChain for stateful orchestration, multi-agent collaboration, and tool calling
  • Multi-provider LLM integration (OpenAI, Claude, Gemini)
  • Graph databases and GraphRAG
  • Observability and tracing (OpenTelemetry, LangSmith), LLM evaluation frameworks, Docker/containerized deployment

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