Backend Engineer - SDE 2 (Voice AI / Telephony Platform)
Blue Machines AI · bluemachines.ai
BengaluruMid level2–4 yrs
Subscribers got this job on 5 October 2026.
New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first
The job in short
Backend development for voice AI telephony platform.
PythonJavaPostgresMongoDBRedisKafkaAWSGCPKubernetesDockerMicroservicesLLMs
Details
- Found
- 21 d ago · posted 2026-09-08
- Location as listed
- Bengaluru, Karnataka, India
- Role
- Backend Engineer
- Source
- The company’s own careers site
Full description
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.
Backend Engineer jobs in Bengaluru · Backend Engineer jobs in India · All Blue Machines AI jobs