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

Blue Machines AI · bluemachines.ai
BengaluruMid level2–4 yrs
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The job in short

Backend development for voice AI telephony platform.

PythonJavaPostgresMongoDBRedisKafkaAWSGCPKubernetesDockerMicroservicesLLMs

Details

Found
27 d ago · posted 2026-09-08
Location
Bengaluru, Karnataka

Full 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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