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

Blue Machines AI; Bengaluru; Hybrid; INR 2,200,000 - 3,800,000; Full time

Job summary

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

You will design and maintain microservices, APIs, data models, and deployment strategies, write performant concurrent code, and collaborate with product, ML, and AI teams to advance the

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).
• Collaborate with product and AI teams to evolve the platform’s multi-agent orchestration and automation layer.

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/RTP

Voice AI

LLMs

Vector DBs

AI agents

GCP/AWS

Kubernetes

Docker

Databases

Kafka

Tools

Datadog

Sentry

Kubernetes

Docker

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’smulti-agent orchestration and automation layer.