Voice AI / Agentic AI Developer (Autonomous Sales CRM)

Quick Facts

• Role: Voice AI / Agentic AI Developer (Autonomous Sales CRM)

• Focus: Real-time, voice-driven conversational agents for an autonomous sales CRM platform

Description

You will build real-time, voice-driven conversational agents that support an autonomous sales CRM. The role combines Python backend engineering, voice AI frameworks, and LLM-powered agent workflows to deliver natural, low-latency conversations in production.

Responsibilities

• Build real-time voice agents using frameworks like LiveKit Agents or Pipecat

• Integrate speech-to-text and text-to-speech services into low-latency audio pipelines

• Handle streaming audio, voice activity detection, interruption handling, and turn-taking

• Orchestrate tool calling and conversational workflows with LangGraph and agentic AI patterns

• Integrate LLMs (OpenAI, Claude, Gemini, or equivalent) and connect agents to CRM and business APIs

• Own observability, evaluation, and production deployment

Requirements

• Strong Python development, including asynchronous programming and backend engineering

• Voice AI frameworks: LiveKit Agents, Pipecat, or equivalent

• Speech-to-text: Whisper, Deepgram, AssemblyAI, or equivalent

• Text-to-speech: ElevenLabs, OpenAI TTS, Azure Speech, or equivalent

• Real-time audio streaming, low-latency processing, voice activity detection, interruption handling, and turn-taking

• LLM integration: OpenAI, Claude, Gemini, or equivalent

• LangGraph and agentic AI for tool calling, workflow orchestration, and conversational agents

• API integration, observability, evaluation, and production deployment