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.
Skills Required
- 2-4 years of backend development experience
- Proficiency in Python or Java
- Strong understanding 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 with Voice AI or speech processing systems, including ASR, TTS, or real-time inference
- Experience integrating LLMs, vector databases, or AI agent frameworks into production systems
- Experience with GCP or AWS cloud environments
- Experience with Kubernetes and Docker containerized deployments
- Understanding of MongoDB, Redis, or PostgreSQL databases
- Understanding of Kafka or Pub/Sub message queues
What We Do
Blue Machines AI is an enterprise agentic customer-experience platform that deploys multilingual voice AI agents to automate customer conversations and service or sales workflows. Its platform orchestrates speech-to-text, text-to-speech and language models to support reliable, low-latency interactions at scale. It extends customer engagement across voice, chat, WhatsApp, web and email, adapting journeys toward defined outcomes. The company focuses on making AI production-ready for high-stakes enterprise use.
