Full Stack Engineer
1 week ago
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 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
-
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