Software Engineer, Applied AI

Lassie; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

A cutting-edge health technology company in California is seeking an engineer to build AI agents for doctor’s offices. The ideal candidate will work on full-stack systems that handle real money and patient data. Responsibilities include diagnosing production incidents and designing reliable data pipelines. Candidates should have a strong background in reliability engineering and experience with technologies like Python, Postgres, and Google Cloud Platform. This role offers the opportunity to make a significant impact in healthcare automation.

Qualifications

• Excited to work with frontier models.
• Engineer for reliability and correctness.
• Diagnose and rectify production incidents.
• Automate repetitive tasks effectively.
• Design schemas for large-scale datasets.
• Comfortable with databases and job orchestration.

Responsibilities

• Build AI agents for doctor's offices.
• Handle real money and patient data.
• Work across full stack: architecture to infrastructure.
• Design schemas and pipelines for large-scale datasets to power applied AI.

Skills

Frontier models

Reliability engineering

Live production incident resolution

Automation of repetitive tasks

Data schema design

Database management

Tools

Python

Postgres

Redis

TypeScript

React

Tailwind

Google Cloud Platform

Vercel

Google Cloud Platform

Vercel

Job description

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 and Frédéric Renken, 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.