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Backend Engineer - SDE 2 (Voice AI / Telephony Platform)

Backend Engineer - SDE 2 (Voice AI / Telephony Platform)

blue machines ai
  • Posted 2 hours ago
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Job Description

SDE II, Backend — Voice AI & Telephony

Experience: 2-4 Years

Location: Bengaluru (Work from Office)

Team: Blue Machines

Role Overview

We're looking for an SDE II (Backend) to help build high-scale, low-latency systems for our AI and voice platform. You'll work on real-time backend systems that power live voice conversations — combining strong backend fundamentals with exposure to WebRTC, SIP-based telephony, and Voice AI.

Responsibilities

  • Build and maintain scalable microservices and backend systems that power real-time AI and voice workflows
  • Contribute to system design — APIs, data models, deployment, and monitoring — alongside senior engineers
  • Write performant, concurrent, fault-tolerant code at scale
  • Implement observability and testing best practices (Datadog, Sentry, etc.)
  • Collaborate with product and AI teams on the platform's multi-agent orchestration and automation layer
  • Partner closely with the ML team to integrate in-house models, support benchmarking and observability, and help build the next generation of in-house AI models

Requirements

Must-Have Skills

  • 2-4 years of backend development experience in Python or Java
  • Strong grasp of system design, concurrency, and distributed systems
  • Experience building scalable APIs or streaming systems
  • Familiarity with WebRTC, SIP, RTP, or other real-time communication protocols
  • Experience working with Voice AI or speech processing systems (ASR/TTS, real-time inference)
  • Experience integrating LLMs, vector DBs, or AI agent frameworks into production systems
  • Experience with cloud environments (GCP/AWS) and containerized deployments (Kubernetes, Docker)
  • Sound understanding of databases (MongoDB, Redis, Postgres) and message queues (Kafka, Pub/Sub)
  • Collaborate with product and AI teams to evolve the platform's multi-agent orchestration and automation layer

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