Build a Custom Voice AI Recruiting Agent

Most startups first look at SaaS platforms like Paradox or MyAlly. They quickly find that these tools are built for large enterprises, with high monthly minimums and per-seat pricing that punishes growth. Their conversational flows are rigid; you cannot easily add role-specific technical questions, which makes them ineffective for screening engineers or other specialized roles. The candidate experience is often poor, forcing applicants into a third-party web portal to schedule interviews.

A common second attempt involves using Twilio Studio to build a simple phone menu. This fails because natural language is complex. A Studio flow can match keywords but cannot understand intent or context. If a candidate says, "I have experience with Python, but mainly for data analysis, not backend services," a keyword-based system breaks. It lacks the state management and conversational intelligence needed to handle real human dialogue, leading to a frustrating experience for the candidate and useless data for the recruiter.

Syntora would approach the development of a custom voice AI recruiting and scheduling system by first mapping your exact screening and scheduling workflow into a state machine. The core conversational logic would be powered by the Claude API, which we would fine-tune using your specific job descriptions and company data. This design would enable the agent to conduct a detailed screening call, covering essential questions while also capably handling conversational detours and candidate inquiries about company culture or benefits.

For the telephony layer, we would use Twilio's Programmable Voice API. ElevenLabs would be employed for voice synthesis to create a natural, human-like agent voice. Our architecture would target a response latency under 800ms from the moment a candidate finishes speaking to the agent's reply, which is crucial for maintaining a fluid conversation. The system would be designed for deployment on AWS Lambda, allowing it to scale to handle many concurrent calls without performance degradation.

The agent system would integrate directly with your existing Applicant Tracking System (ATS) via its native API. Syntora has experience with API integrations for various enterprise platforms, and this expertise applies to popular ATS like Greenhouse, Lever, and Ashby. After a successful screening, the system would access the hiring manager's Google Calendar, identify available slots, and offer them to the candidate. A complete call transcript, summary, and pass/fail score would be written to the ATS within seconds after the call concludes.

The entire system would be deployed as a Python FastAPI application. Supabase would be utilized to store call logs and manage conversational state between interactions. All system events and errors would be logged using structlog and could be piped to a dedicated Slack channel, providing real-time visibility into operational performance. Based on similar architectures, the estimated AWS hosting cost for processing 1,000 calls a month would typically be under $50.