Software Engineer, Applied AI

Golassie; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Golassie is seeking an engineer to develop AI agents that manage doctor’s offices, handling real financial transactions and patient data. This role involves working on full-stack solutions, including data pipelines and agent architectures designed for reliability.

The position requires expertise in Python, Postgres, and collaborative abilities across various systems. Ideal candidates are eager to innovate and optimize workflows in healthcare technology.

Qualifications

• Excited to work with frontier models.
• Engineered for reliability and correctness, not just functionality.
• Diagnose and resolve live production incidents with minimal disruption.

Responsibilities

• Build AI agents that run doctor's offices.
• Work across the full stack: agent architectures and data pipelines.
• Automate repetitive work and build tooling that enhances engineering.

Skills

Excited to work with frontier models

Engineered for reliability and correctness

Diagnose and resolve live production incidents

Automate repetitive work

Design schemas and pipelines for large datasets

Comfortable across databases and orchestration systems

Tools

Python

Postgres

Redis

TypeScript

React

Google Cloud Platform

Job description

Our mission is to help small businesses run themselves. We’re starting with doctors’ offices, building autonomous systems that handle busywork and complete the workflows that keep the office moving every day. Our team is small, flat, and ambitious. We value craft, intellectual rigor, and direct communication.

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 team and founders. If there is mutual excitement, we'll invite you to the office where you'll work on a small project and meet the team.