AI Voice Agent — Recruiting Assistant — Engineering Case Study

AI Voice / LLM Project · by Yatharth Lakhera

AI-powered outbound recruiting assistant that conducts simulated screening calls — collects candidate info, evaluates fit, and routes qualified leads.

The challenge

Recruiting teams spend hours running first-touch screening calls that follow a near-identical script — burning senior recruiter time on repetitive qualification work before a real human conversation is even worth having.

The build

Built a voice-first AI agent that simulates an outbound screener. The agent runs real-time conversations with full context awareness, collects structured candidate data (role, company, stack, intent), and uses RAG over the role spec to evaluate fit before routing qualified leads forward.

Impact

Outbound, voice-driven candidate screening with live demo readiness
Real-time conversational evaluation against role and skill criteria
Structured handoff: only qualified leads reach human recruiters

Technologies: LLM, Voice AI, FastAPI, Python, React, RAG

Yatharth Lakhera — full portfolio