AI Engineer - Internship

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

A. AI Voice/Engine:
1. Maintain and enhance the core Python backend (using frameworks like Quart
or FastAPI), responsible for handling voice sessions.
2. Ensure high reliability, including fast call connections, smooth session
continuity (avoiding hangs), and effective concurrency handling.
3. Integrate and manage real-time calling functionality via established
telephony platforms (e.g., Plivo/Twilio).

B. Applied AI Integration:
1. Connect large language models (LLMs) such as Google Live AI or OpenAI
Real-time into the active call flow.
2. Manage prompt engineering, function-calling mechanisms, and essential
retrieval logic.
3. Customize AI responses and behaviors to align perfectly with the specific
products and services of each client.

C. Lightweight Retrieval & Personalization:
1. Implement basic search and retrieval methods (e.g., RapidFuzz or
embeddings) to fetch relevant product/service information quickly.
2. Personalize LLM prompts and conversational logic based on individual
client business requirements.

D. After-Call Automation:
1. Develop and maintain the pipeline for generating critical post-call
artifacts, including summaries, invoices, PDFs, or personalized messages.
2. Integrate with APIs to send automated follow-up communications (SMS,
WhatsApp).
3. Ensure reliable data persistence by writing call records and outputs back
to relational databases (Postgres/Supabase).

E. Secure, Clean Python Delivery:
1. Manage deployment and operational processes using Docker.
2. Maintain secure handling of secrets (.env files), including occasional key
rotation.
3. Ensure stable dependency management and simple, reliable test scripts.