Full Stack Engineer (Real-Time Audio Systems) - Voice AI

We're looking for an experienced engineer to lead the development of our real-time voice AI

platform. This hybrid role combines deep expertise in conversational AI, audio infrastructure,

and full stack systems, making you a core contributor to building natural, low-latency voice-driven

agents for complex healthcare workflows and beyond. You'll work directly with the founding team to

bring intelligent, production-grade voice agents to life.

Role :

We are looking for someone who loves to read research papers ,debate on media streaming &

How Voice Communication is going to be transformed in the coming 3 years around the globe.

It doesnt matter your background - whether you are fresher or experienced ,with degree or

without degree,if you love working around Voice AI - join our Core Team.

If you are good at playing with webrtc ,websocket & streaming pipeline - get your spot here!!

What You'll Do

• Streamlining for voice-driven AI systems that integrate ASR(speech recognition), TTS

(speech synthesis), and LLM inference with webrtc & websocket infra.

context management.

agents, and secure healthcare workflows.

latency audio streaming pipelines.

experiments, and deploy them to production.

Performance.

What We're Looking For

streaming, or conversational AI.

communication systems & if you are fresher - a good github what challenges you

come across instead of what you have built,we are interested to know the process at

First.

Working knowledge of modern front-end frameworks like Next.js is a plus.

time pipelines.

Bonus Points

Why Join Us

You'll sit at the crossroads of AI research and real-world product engineering, shaping voice

intelligence that has immediate, high-impact applications in healthcare and beyond. This is a

chance to own systems end-to-end, from building cutting-edge low-latency voice pipelines to

designing APIs and full-stack apps that bring new agent experiences to life.

Interview Process :

you have worked around) - https : / / forms.gle / xHchssjc3X23CeM16

Skills Required

Docker, Kafka, FastAPI, Webrtc, Redis, Python, Aws