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, μ-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 mains.