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About the Role Volume AI is building a production-grade AI voice automation platform with a real-time audio pipeline (<800ms latency). Our stack includes FastAPI, Node.js (Fastify/WebSockets), React, PostgreSQL, Redis, Celery, Docker, and integrations with multiple AI providers such as Groq, OpenRouter, Deepgram, ElevenLabs, Google Cloud, AWS, and Azure. This role requires strong hands-on expertise, architectural thinking, and the ability to work across the stack in a fast-paced startup environment. Responsibilities Build & scale backend services using FastAPI, PostgreSQL, Redis, Celery, and Docker Work on the real-time Node.js voice pipeline (Fastify/WebSockets, Twilio Media Streams) Integrate & optimize LLMs, STT, and TTS providers (Groq, Deepgram, Whisper, ElevenLabs, etc.) Improve & maintain the React dashboard Work with AWS (EC2, RDS, S3, ElastiCache) and Google Cloud Maintain and improve CI/CD workflows using GitHub Actions Analyze and integrate open-source libraries Implement monitoring, logging, and performance optimization Reduce latency and improve the reliability of distributed systems Take ownership of new technologies introduced as the product evolve Required Skills Strong Python expertise (FastAPI + async/await) Strong ReactJS fundamentals Advanced SQL & PostgreSQL schema design Proficiency with Docker, GitHub Actions, and CI/CD pipelines Experience with Node.js real-time systems (Fastify/WebSockets) Redis, Celery, and distributed task queue experience Experience with third-party APIs (Twilio, Google, AWS, Azure) Understanding of LLMs, Whisper, TTS engines, and AI provider optimizations Ability to understand & extend open-source codebases High adaptability and ability to work independently