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Blue Machines AI · Bengaluru, Karnataka, India

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

Posted 2 days ago
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Stack mentioned

microservicessystem-designobservabilitydatadogpythonjavallmgcpawskubernetesdockermongodbredispostgresqlapache-kafka

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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