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Senior Conversational AI Engineer (Voicebot)
Senior Conversational AI Engineer (Voicebot)CogniTensor • Meerut (division)
Senior Conversational AI Engineer (Voicebot)

Senior Conversational AI Engineer (Voicebot)

CogniTensor • Meerut (division)
6 days ago
Job description

Location : Noida (Onsite) | Experience : 3-5 Years | šŸš€ The Mission

We are not looking for a Data Scientist who trains models in a notebook. We are looking for a Backend Engineer who builds real-time, bi-directional Voice AI agents.

You will build the "Brain and Ears" of our fintech voice bots, ensuring they can listen, think, and speak in under 800ms .

šŸ›  What You Will Actually Build (Responsibilities)

  • The Pipeline : Architect full-duplex voice pipelines using WebSockets (not just REST APIs). Connect Twilio / Exotel streams to Deepgram / Whisper and LLMs in real-time.
  • The Speed : Optimize Python code using asyncio to handle concurrent calls. If the bot lags, you fix it.
  • The Logic : Move beyond simple "Chatbots." Build complex state machines (e.g., If user says 'Wait', stop talking immediately ) using tools like LangChain or custom Python logic.
  • The Stack : Integrate best-in-class Voice APIs (Deepgram, Google TTS, OpenAI Realtime API) and deploy them on AWS / GCP using Docker .

āœ… The "Must-Have" Tech Stack

If you don't have these, please do not apply.

  • Python Frameworks : Mastery of FastAPI or Starlette . (Experience with only Django / Flask is not sufficient).
  • Real-Time Protocols : Deep understanding of WebSockets (wss : / / ) and streaming audio data (bytes handling).
  • Concurrency : Proven experience with Async / Await ( asyncio ) in Python. You must know how to handle non-blocking I / O.
  • Voice Tech : Hands-on experience with ASR (Whisper, Deepgram, Google) and TTS (ElevenLabs, Azure, Polly).
  • LLM Integration : Experience building products with OpenAI API / Anthropic (Function Calling, System Prompts, JSON Mode).
  • Bonus Points (Good to Have)

  • Experience with SIP Trunking (Twilio / Plivo / Exotel).
  • Knowledge of Vector Databases (Pinecone / Qdrant) for RAG.
  • Experience fine-tuning small models (Llama-3, Mistral) for specific tasks.
  • Familiarity with Docker & Kubernetes for deployment.
  • šŸ’” How to Apply

    Send your resume + A GitHub link to a project where you used WebSockets or LLMs. (Resumes without code samples will be prioritized last).

  • For direct apply send your resume at singh.jyoti@cognitensor.com / +91 8262004185
  • Create a job alert for this search

    Senior Conversational AI Engineer Voicebot • Meerut (division)

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