Backend Engineer - Voice AI & Telephony

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:

• 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, and Postgres) and message queues (Kafka and Pub/Sub).

Good To Have:

• Prior work on AI-driven or telephony-driven platforms.
• Experience collaborating with ML/research teams on model benchmarking, evaluation, or observability.