- Build the calling agent: connect to the phone network (Twilio / SIP), dial insurance companies, press the right keys on the phone menu (IVR), wait on hold, and talk to the representative using our scripts.

- Capture the answers: save claim status, denial code, amount paid, reference number and representative name into our Supabase / Postgres database in a fixed format.

- Build the AI checker: a second program that reads each call transcript, checks the saved answers against it, and sends doubtful calls to a human for review.

- Test and measure: build a test setup with a fake insurance phone menu, run test calls every day, and track speed, success rate and cost per call on a dashboard.

- Keep it running: fix the agent when an insurance company changes its phone menu, track which insurance companies work well, and switch off the agent for any that do not.

- Follow US healthcare data rules (HIPAA): use only approved vendors, keep patient data off your laptop, and keep logs clean. We will train you on this.

- Document everything so our team can run the system without you.

Skills we need (must have)

- Strong Python (Node.js / TypeScript is a plus).

- Have built at least one AI voice agent or AI chat agent college project, hackathon, freelance or job — that we can try: a phone number we can call, a live demo, or a video of it working, plus the code on GitHub.





- Phone technology: Twilio Programmable Voice or SIP; sending DTMF key tones; call recording.

- One voice-agent framework: Pipecat, LiveKit, Retell, Vapi, or your own Twilio media-stream code.

- Working with LLM APIs (Anthropic Claude or OpenAI): function / tool calling, JSON output, prompt management.

- Curiosity and self-learning: you follow the voice-AI and LLM space (recent models, Pipecat / LiveKit releases, Anthropic and OpenAI updates) and have tried the tools yourself.

- Testing habit: you have measured how fast and how often your agent works, and can tell us the numbers.

- PostgreSQL / Supabase, REST APIs and webhooks.

- Good written and spoken English.

Skills that are a plus (good to have)

- Active GitHub with your own projects; open-source contributions; hackathon wins; a tech blog or YouTube channel.

- Built a Telegram / WhatsApp / Discord bot, a voice assistant, or any LLM app with real users.

- Agents that work through phone menus (IVR) and long hold times — insurance, pharmacy, telecom, collections.

- US medical billing knowledge: claim status, denial codes, Waystar or Availity.

- ElevenLabs, Deepgram or Cartesia speech APIs; Retell or Vapi partner experience.

- Any HIPAA, SOC 2 or data-security experience.

📌 Voice AI Engineer - AI Agents / Telephony (Chennai)
🏢 Medicount
📍 Chennai