About Zudu AI

Zudu AI is an enterprise Voice AI platform. Our real-time AI voice agents handle live customer calls in production for enterprise customers in India and overseas. The stack: Python (FastAPI) and Java (Spring Boot) services, LiveKit for real-time media, SIP telephony, STT/TTS, LLMs, PostgreSQL, Qdrant, and Kubernetes on GCP.

The role

This is not a training programme. You will ship to production within your first month, own small services end to end, and debug live call flows with the core team. We build with AI tooling (Claude Code, Cursor) every day and expect you to.

What you'll do

- Build and maintain backend services and APIs in Python/FastAPI (primary) and Java/Spring Boot
- Build and support real-time voice agent workflows on LiveKit, including SIP/telephony integration and call control
- Integrate LLMs, speech (STT/TTS) and RAG (PostgreSQL + Qdrant) into production agents
- Debug across APIs, WebSocket and SIP flows, and Kubernetes workloads on GCP using logs, metrics and traces
- Ship tested, reviewed code through CI/CD

The bar (read before applying)

- Final-year student or 2025/2026 graduate in CS,



IT or a related field
- At least one real backend project outside coursework (internship, freelance or personal): deployed, used by someone other than you, code on GitHub
- You have built something with an LLM API (RAG, embeddings, agents or tool calling) and can explain where it failed
- You use AI coding tools daily and know where their output needs fixing
- Solid fundamentals: HTTP/REST, SQL, async or concurrency basics, Git
- You can read a stack trace and logs and form a hypothesis before asking for help
- Comfortable in Python or Java, willing to work in both

Nice to have

- FastAPI, Spring Boot, WebSockets, asyncio
- SIP, VoIP, WebRTC or LiveKit
- Docker, Kubernetes, GCP
- Open source contributions

What you'll gain

- Production experience on a real-time Voice AI platform (telephony, media pipelines, LLM integration, cloud-native infra), direct mentorship from the core engineering team, and a full time path for strong performers.

📌 Backend Engineering Intern, Voice AI Platform (Chennai)
🏢 Zudu AI
📍 Chennai