Job Description
Location: Noida (Onsite) | Experience: 3-5 Years |
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.
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.<...
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.
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.<...
Ready to Apply?
Take the next step in your AI career. Submit your application to CogniTensor today.
Submit Application