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Conversational AI Engineer.

Conversational AI Engineer.

221 B Baker STNadiad, IN
8 days ago
Job description
  • Design and build a conversational chatbot capable of handling VOIP-based user interactions
  • using AI Agent capabilities that exist on the platform.

    • Integrate AI workflows and APIs with VOIP infrastructures such as Cisco Call Manager, or SIP-
    • based systems.

    • Develop real-time conversation logic that supports both speech recognition (STT) and text-to-
    • speech (TTS) capabilities.

    • Work with engineering teams to extend and customize workflows, intents, and agent actions for
    • natural, multi-turn voice conversations.

    • Design dialog flow architecture, NLP tuning, and fallback handling for hybrid voice + chat
    • scenarios.

    • Monitor and optimize latency, audio quality, and AI response times for real-time VOIP
    • conversations.

    • Develop logging, monitoring, and analytics layers to track chatbot engagement and resolution
    • metrics.

    • Collaborate with AI Ops, DevOps, and Cloud Engineering teams to deploy the solution
    • Required Skills & Experience

    • 3–6 years of experience in chatbot, conversational AI, or VOIP software development.
    • Hands-on expertise building with enterprise APIs, conversational design, workflow builder
    • Strong proficiency in Node.js / Python for bot logic and backend services.
    • Experience with VOIP technologies : Cisco Unified Communications
    • Proficiency in speech technologies : Google Speech-to-Text, Amazon Polly, Azure Cognitive
    • Speech Services, or similar.

    • Familiarity with NLP platforms : Dialogflow, Rasa, or other NLP stack.
    • Experience integrating bots with CRM / ITSM systems (Salesforce, ServiceNow, Zendesk).
    • Understanding of OAuth, REST APIs, and WebSockets for integration.
    • Familiarity with AI Agentic frameworks, LLM orchestration, and voice-based automation
    • workflows is a strong plus.

      Preferred Qualifications

    • Experience building voice-driven self-service assistants for customer service or IT support.
    • Knowledge of contact center integration
    • Prior work integrating with Aisera, Five9, NICE, or similar AI automation platforms.
    • Exposure to enterprise-scale deployments with latency optimization and multi-channel
    • orchestration.

    • Certifications in AI Agent Development, AWS AI / ML, or Google Cloud Conversational AI.
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