Location : Noida (Onsite) | Experience : 3-5 Years | š 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 .
š 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 .
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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.š” 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