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Senior Software Engineer - Backend (AI Platform)

Blue Machines AIBengaluru, IndiaPosted 1h ago
via Workable

Experience: 3–6 Years
Location: Bengaluru (Work from Office)
Team: Blue Machines – Apna’s Agentic AI Platform

Role Overview

We’re looking for a Senior Software Engineer (Backend) who can design and build high-scale, low-latency systems for our AI and voice platform. The ideal candidate will have strong backend engineering fundamentals, experience with distributed systems, and curiosity about Voice AI, WebRTC, and SIP-based integrations.

Responsibilities

  • Design and develop scalable microservices and backend systems that power real-time AI and voice workflows.
  • Own end-to-end system design — from architecture, APIs, and data models to deployment and monitoring.
  • Optimize systems for performance, concurrency, and fault tolerance at high scale.
  • Implement best practices for observability, testing, and resilience (Datadog, Sentry, etc.).
  • Collaborate with product and AI teams to evolve the platform’s multi-agent orchestration and automation layer.

Must-Have Skills

  • 3–6 years of backend development experience in Python or Java.
  • Strong grasp of system design, concurrency, and distributed systems.
  • Experience building scalable, high-availability APIs or streaming systems.
  • Familiarity with WebRTC, SIP, RTP, or other real-time communication protocols.
  • Experience with cloud environments (GCP/AWS) and containerized deployments (Kubernetes, Docker).
  • Sound understanding of databases (MongoDB, Redis, Postgres) and message queues (Kafka, Pub/Sub).

Good to Have

  • Exposure to Voice AI, Speech Processing, or AI Agent frameworks.
  • Experience integrating LLMs, vector DBs, or real-time AI inference systems.
  • Prior work on AI-driven or telephony-driven platforms at scale.

Why Join Us

  • Work on India’s largest Voice AI and Agentic Automation platform, shaping how enterprises interact with AI.
  • Collaborate with a world-class team building scalable real-time systems that push latency and reliability limits.
  • Opportunity to grow into architecture, infra, or AI platform leadership roles as Blue Machines scales globally.

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