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Checked on their board 15 Nov

Blue Machines Hiring now

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

Voice AI platform for live phone conversations. You'd build scalable backend services in Python or Java.

Bengaluru, IndiaPosted 2 months ago
Who to email about itThe Head of Data at Blue Machines
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About the role

From Blue Machines's posting on Workable, as they wrote it

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.

Live on Blue Machines's board as of 15 Nov. We check it every day.

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About Blue Machines

Blue Machines is an enterprise Voice AI platform that lets organisations talk to millions of people in their own language.

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