Backend Engineer – Real-Time Audio & Voice Systems

Backend Engineer Real-Time Audio & Voice Systems

Role Overvie

wWe are seeking a Senior Backend Engineer Real-Time Audio & Voice Systems to design

,build, and operate low-latency, highly reliable voice and audio pipelines that power Interactly.ai

sconversational AI platform. This role requires deep hands-on experience with real-time audi

ostreaming, speech-to-text (STT), text-to-speech (TTS), and telephony integrations, usin

gPython and Node.js in production environments

.You will play a critical role in building scalable, fault-tolerant systems for high-volume voic

einteractions

.
Key Responsibiliti

es Design, develop, and operate real-time audio processing pipelines for conversation

alvoice agent

s. Build and maintain backend services using Python (FastAPI/async frameworks) a

ndNode.js for low-latency workflow

s. Implement bi-directional audio streaming using WebSockets, WebRTC, or simil

arprotocol

s. Integrate and optimize Speech-to-Text (STT) and Text-to-Speech (TTS) engin

es(cloud-based or self-hosted

).
Build and maintain telephony integrations (inbound/outbound calling, call routing, c

allrecording, DTMF, conferencin

g). Optimize audio latency, jitter, and reliability across distributed syste

ms. Handle high-concurrency workloads and real-time session state manageme

nt. Implement monitoring, logging, and alerting for voice pipelines and call flo

ws. Collaborate with AI/LLM teams to integrate speech pipelines with conversational log

ic. Own production deployments, on-call rotations, and incident response for voice syste

ms.
Required Qualificat

ions 4+ years of backend engineering experience, with a strong focus on real-

timesyst

ems. Strong hands-on experience with Python and Node.js in production environme

nts. Proven experience building real-time audio or voice applicati

ons. Deep understanding of STT and TTS pipelines, audio codecs, and streaming conce

pts. Solid experience integrating telephony platforms (inbound/outbound calls, SIP, PS

TN). Experience with WebSockets, WebRTC, or RTP-based stream

ing. Strong understanding of asynchronous programming and event-driven architectu

res. Experience with Docker and CI/CD pipeli

nes. Ability to debug and optimize distributed, latency-sensitive syst

ems.
Nice-to-Have S

kills Experience with LLM-powered voice assistants and conversational AI sys

tems. Familiarity with audio codecs (Opus, PCM, -law) and sampling strate

gies. Experience with cloud infrastructure (AWS/GCP) and autoscaling real-time serv

ices.
Exposure to message queues, Redis, or real-time state s

tores. Prior experience in healthcare, contact centers, or telecom do