AI Voice Bot / Conversational AI Engineer

Role OverviewWe 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).ResponsibilitiesDesign 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.Requirements3–7 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).SkillsPythonLLMsLangChainTwilioFastAPIBenefitsFlexible schedulePaid sick timeProvident Fund