Senior Software Engineer - Backend (AI Platform)

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 .

Requirements

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.

Benefits

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.