Senior Software Engineer, AI
AI Summary
Senior Software Engineer designing and operating AI agents that run doctor’s offices, handling real patient data and payments across production systems.
About this role
Lassie is building the AI for every health practice.
One million health practices spend $100B+ a year on admin staff, and still can't find enough people. Since COVID, offices are chronically short-staffed. Patients feel it every day in unanswered calls and confusing bills.
We believe the doctor's office of the future is run by AI. An agent that runs the business, handles the administration, and becomes the interface patients use to interact with their doctor's office.
Founded by Steijn Pelle (helped Robinhood and Coinbase grow to their first hundreds of millions in annual revenue) and Frédéric Renken (engineer turned first product hire at Superhuman), we're bringing consumer product DNA to healthcare and reimagining how a million doctors and 300 million patients interact with the doctor's office.
About the role
We're hiring an engineer to build the AI agents that run doctor's offices.
These are production systems handling real money and real patient data for thousands of practices. You'll work across the full stack: agent architectures, data pipelines, evals, and the infrastructure that makes it all reliable.
You will be a great fit if you…
Are excited to work with frontier models
Engineer for reliability and correctness, not just functionality
Diagnose and resolve live production incidents with minimal disruption
Automate away repetitive work and build tooling that makes engineering faster and safer
Design schemas and pipelines for large-scale datasets to power applied AI
Are comfortable working across databases, caches, proxies, and job orchestration systems
Some things we've built
Data pipelines processing $1B+ in insurance claims
Systems that eliminate thousands of hours of paperwork every month
A sync engine backed by encrypted SQLite in the browser, enabling 100ms experiences for healthcare payments and patient ledgers
Technology we use
We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them.
Python (Django, Pydantic AI), Postgres, Redis
TypeScript, React, Tailwind
Google Cloud Platform, Vercel
Linear, Slack, Notion
Joining us
To start, you'll have a handful of conversations with our founders and team. If there is mutual excitement, we'll invite you for an in-office work trial where you'll collaborate on real problems we're solving and meet the team.
Skills
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