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

Blue Machines AI; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Blue Machines AI in Bengaluru seeks an SDE II (Backend) to build high-scale, low-latency systems for its AI and voice platform. You’ll work on real-time backend systems powering live voice conversations — combining strong backend fundamentals with exposure to WebRTC, SIP-based telephony, and Voice AI.

Collaborate with product and AI teams on multi-agent orchestration, integrate in-house models with the ML team, and implement observability and testing practices to ensure reliability at scale.

Qualifications

• 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).

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.

Skills

Python

Java

System design

Distributed systems

APIs

WebRTC

SIP

Voice AI

ASR/TTS

LLMs integration

GCP/AWS

Docker

Kubernetes

MongoDB

Redis

Postgres

Kafka

Tools

Docker

Kubernetes

Datadog

Sentry

Git

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 platform’smulti-agent orchestration and automation layer.