Software Engineer, Applied AI
@ LassieSoftware Engineer, Applied AI
This job is still taking applications, but it's been up a while.
About the job
A company creating autonomous systems for small business workflows, starting with doctors' offices. Focuses on building reliable AI agents, data pipelines, and infrastructure to streamline healthcare operations.
Requirements
- Experience with frontier models
- Engineer for reliability and correctness
- Diagnose and resolve production incidents
- Automate repetitive tasks
- Design large-scale data pipelines
Qualifications
- Experience with databases and caches
- Comfort working with job orchestration
- Strong problem-solving skills
- Familiarity with cloud platforms
Full 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.
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