AI Voice Bot / Conversational AI Engineer

Role Overview

We are looking for an experienced AI Voice Bot / Conversational AI Engineer to design, develop, and deploy intelligent voice-based AI solutions. The ideal candidate should have hands-on experience building AI calling bots, voice assistants, or conversational AI applications integrated with telephony systems and Large Language Models (LLMs).

Responsibilities

• Design and develop AI-powered Voice Bots and Calling Agents.
• Build real-time conversational AI solutions using LLMs.
• Integrate Speech-to-Text (STT), Text-to-Speech (TTS), and Natural Language Processing (NLP) services.
• Develop voice workflows using Python and AI frameworks.
• Integrate AI voice solutions with CRMs, APIs, IVR, and telephony platforms such as Twilio, Exotel, or Knowlarity.
• Optimize response latency, conversation quality, and voice experience.
• Build REST APIs and microservices for AI applications.
• Monitor, troubleshoot, and improve production AI voice systems.
• Collaborate with Product, Engineering, and QA teams to deliver scalable AI solutions.

Requirements

• 3–7 years of experience.
• Strong experience in Python.
• Hands-on experience with Voice AI or Conversational AI applications.
• Experience with LLMs such as OpenAI GPT, Azure OpenAI, Claude, or open-source models.
• Knowledge of LangChain, LangGraph, RAG, Prompt Engineering, and Vector Databases.
• Experience with STT/TTS technologies such as Whisper, Deepgram, ElevenLabs, Azure Speech, or Google Speech.
• Experience with telephony platforms like Twilio, Exotel, Knowlarity, SIP, or IVR.
• Strong understanding of REST APIs, WebSockets, and real-time streaming.
• Experience with FastAPI, Docker, Git, and cloud platforms (AWS, Azure, or GCP).

Skills

• Python
• LLMs
• LangChain
• Twilio
• FastAPI

Benefits

• Flexible schedule
• Paid sick time
• Provident Fund