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.

● Orchestrate multi-turn conversations using frameworks like Pipecat, with memory and

context management.

● Develop scalable backends and APIs to support streaming audio pipelines, stateful

agents, and secure healthcare workflows.

● Implement real-time communication features with WebRTC, WebSockets, and low-

latency audio streaming pipelines.

● Collaborate closely across research, engineering, and product to move fast, ship

experiments, and deploy them to production.

● Monitor, optimize, and maintain deployed agents for high reliability, safety, and

Performance.

● Translate experimental AI audio models into production-ready services.

What We’re Looking For

● 4+ years of software engineering experience, with a focus on real-time systems,

streaming, or conversational AI.

● Proven track record building and deploying voice AI, audio/video, or low-latency

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.

● Strong proficiency in Python (FastAPI, async frameworks, LangChain or similar);

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

● Knowledge of WebRTC, WebSockets, Redis, Kafka, Docker, AWS for scalable real-

time pipelines.

● Exposure to healthcare tech, RCM, or regulated environments is highly valued.

Bonus Points

● Contributions to open-source audio/media projects.

● Experience in DSP, live streaming, or media infrastructure.

● Comfortable with observability tools (Grafana, etc.).

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:

- Fill the Google Form along with your Linkedin & Github ( Link to your best 2 Projects

you have worked around) -

- If we find the profile right fit , you will receive an email with the next task.

- Third Round will be Discussion Round with the Tech Team

- The Final Round with HR