AI Agent Development - Internship

Selected intern's day-to-day responsibilities include:

You will work on several real-world AI engineering tasks, including:

1\. AI Backend Development: Implement Python clients that connect live speech-

to-text, LLM agent invocation, and text-to-speech responses with minimal

latency.

2\. Speech System Engineering: Build or maintain backend speech servers for

TTS (Text-to-Speech) and wake word detection systems.

3\. Voice Verification System: Integrate and train SpeechBrain-based voice

authentication models for user verification and personalization.

4\. LLM Agent Creation: Build custom AI agents using LangGraph/LangChain

frameworks for use cases such as Finance Agent, Google Maps Agent,

WhatsApp/Messaging Agent, and other domain-specific intelligent modules.

5\. Performance Optimization: Reduce system latency and ensure seamless real-

time response between STT, LLM, and TTS pipelines.