advanced ~50 hours

AI Customer Support

Multi-agent customer support system with escalation, sentiment analysis, and knowledge base integration.

Overview

Multi-agent customer support system with escalation, sentiment analysis, and knowledge base integration.

Architecture

A advanced-level project using Python, CrewAI, LangGraph, PostgreSQL, Redis. The architecture follows a modular design with clear separation between data ingestion, AI processing, and user interface layers.

Tech Stack

Python · CrewAI · LangGraph · PostgreSQL · Redis

Features

Multi-agent orchestration
Sentiment detection
Human escalation
Conversation memory

Resume Points

Architected multi-agent customer support reducing ticket resolution time by 60%
Implemented agent memory and escalation workflows

Interview Questions

How would you architect this project for production?

Discuss: API design, error handling, observability (tracing, logging), cost optimization (caching, model routing), security (input validation, rate limiting), and deployment strategy (Docker, CI/CD, auto-scaling).

What were the biggest challenges building this?

Focus on AI-specific challenges: prompt reliability, hallucination handling, latency optimization, cost management, and evaluation of AI output quality.