At Arini, we are building the AI-native operating system for dental groups. Arini is the AI receptionist for dentists that answers phone calls and schedules appointments. Most dental appointments are scheduled over the phone by overworked receptionists who put patients on hold and miss a third of incoming calls.

Arini is the AI-native operating system for dental groups. We've built agents that take over the patient engagement journey through calls and texts, and we are on a mission to build deeper dental agents that focus on revenue cycle management, top-of funnel, and more.

Over the last few months, we went from answering a few calls a day, to answering 100% of calls. Today, dentists all over the US and Canada are trusting us with their phones, calendars, and revenue.

We are making generative AI available to those who need it the most.

We are looking for a software engineers to fold time and help us build the most reliable AI-native operating system for dental groups. We are focused on building AI-powered patient engagement tools, and voice is a crucial part of that.

Who we are looking for

Someone who can write code, prompts, Terraform configs, and everything in between.

We handle phone calls non-stop for at least 12 hours a day, and there is almost no margin for error. If we drop a call, a practice loses revenue. We thrive under pressure and you should too.

Our impact on our customers is crystal clear. At the end of each day, we know how many calls we handled successfully, how many appointments we scheduled, and how much revenue we generated for our practices. This makes every day extremely rewarding when things go well, and extremely clear when things need to be improved. This tight feedback loop allows us to move fast, and move with purpose. If this excites you, then let's talk!

Some things you will be working on

• Automate customization and onboarding
  • How can we cut down onboarding time from days to minutes? How can we enable doctors to easily customize their receptionists on their own?
• Optimize scheduling to increase a practice’s revenue
  • Dental scheduling is more complicated than finding the soonest availability. Procedures have different costs and durations, some require more than one provider, others can be double-booked…etc.
  • How can we create an optimal schedule every day for our practices that grows their revenue while still allowing them to provide a high level of care?
• Low latency at scale
  • If the agent takes more than 1s to respond, callers get frustrated and hang up. How can we scale to 100K+ calls a day without sacrificing reliability or speed?
• Accents, dialects, and languages…
  • All of the above needs to work in every accent, dialect, and language.