Job Url: https://wellfound.com/jobs/3752057-founding-engineer-full-stack-ai-first

Job Description: Dentistry Automation
Actively Hiring
We automate dental revenue workflows so practices collect faster, operate leaner, and grow without a
B2B
Early Stage
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Founding Engineer (Full-Stack, AI-First)
$80k – $150k • 0.5% – 2.0%
|
Remote (
Everywhere
)
|7 years of exp
|Full Time
Posted: 1 day ago• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy
Remote only

Company Location
India • 
North America • 
South America • 
United States • 
Eastern Europe
Visa Sponsorship
Not Available

Preferred Timezones
Central Time
Collaboration Hours
9:00 AM - 10:00 PM Central Time
Relocation
Allowed
Skills
Python
.NET
AI
API
TypeScript
Microsoft Azure
About the job
About Dentistry Automation

Dentistry Automation (DA) builds automation software and APIs for dental revenue cycle operations.

We help dental groups and DSOs reduce manual work, accelerate cash flow, and scale without proportional hiring. Our systems sit directly in the money path, touching eligibility, claims, payments, denials, and collections.

Our product stack includes:

DA Platform: Workflow + operational automation for RCM teams
DA API: Clean, reliable endpoints that customers and partners build on
RCM Automation: Eligibility, claims, ERAs/EOBs, denials, collections
AI Layer: Applied AI to reduce human effort, increase throughput, and improve accuracy
If you like building systems where correctness matters, automation replaces people-hours, and AI is used to actually move the needle (not demos), this is that role.

The Role

We’re looking for a hands-on founding engineer who codes daily, ships fast, and owns production. You will build features end-to-end, run releases, and play a key role in embedding AI, code generation, and automation-first thinking across the platform. This role has real influence on architecture, tooling, and how engineering productivity scales.

This is not a "design it and hand it off" role. You build it, ship it, monitor it, fix it, and improve it.

What You’ll Do

Product + Platform

Build and ship features end-to-end (UI → APIs → services → database → rollout)
Own deployments and releases (staged rollouts, feature flags, monitoring, rollback plans)
Build and maintain DA API, including:
Endpoint design and versioning
Authentication and authorization
Rate limits, usage logging, SLAs
Clear, practical developer documentation
RCM Automation

Build RCM workflows including:
Eligibility + benefits verification (payer responses, coverage rules, edge cases)
Claims lifecycle (submission readiness, status checks, follow-ups)
ERA/EOB ingestion and payment posting support (parsing, matching, exception queues)
Denials management (reason codes, worklists, routing, analytics)
Provider + payer data normalization (NPIs, plan mapping, payer IDs)
AI + Productivity (Core Focus)

Use AI to reduce manual RCM work, including:
Data extraction from messy payer responses and PDFs
Classification and routing of denials and exceptions
Summarization of claim status, work queues, and account notes
Apply AI for engineering productivity, including:
Code generation and refactoring
Test generation and validation
Tooling to speed up feature delivery and integrations
Design AI systems that are reliable, observable, and auditable (not black boxes)
Decide where AI helps and where deterministic systems are better
Integrations + Automation

Build reliable integration pipelines (APIs, webhooks, background jobs, queues)
Build scraping and automation workflows where APIs are limited (resilient, monitored, restartable)
Own failures, retries, and edge cases until systems are boringly reliable
Core Requirements

Python
.NET/C#
TypeScript
Azure
SQL
Strong Plus

AI/LLMs
Code generation and AI-assisted developer workflows
API product experience
Scraping/automation tooling
Healthcare or dental RCM exposure
What "Good" Looks Like

You ship meaningful product every week
Releases become boring and predictable
AI meaningfully reduces human effort and cycle time
DA API gets easier to integrate every month
You fix root causes, not just symptoms
Application (Includes a Video Step):

Please submit:

A 6–8 minute video covering:
What you’ve built recently (best shipped work)
One system walkthrough (architecture + tradeoffs)
Shipping Python + .NET + TypeScript on Azure
One automation or integration you owned (scraping welcome)
How you use AI for productivity and product reliability
What you’d do in your first 30 days at DA
Links: GitHub, portfolio, demos, resume/LinkedIn
Short written answers:
Strongest area (backend, integrations, infra, frontend)?
Any RCM or healthcare exposure?
Your time zone and overlap with US Central