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Senior Software Engineer - Backend (AI Platform)

29 days ago 2026/09/03
General Engineering Consultancy
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Job description

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 .
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.
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.
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