Senior Software Engineer - Backend (Voice AI / Telephony Platform)
Experience: 4–6 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
- 4–6 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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