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Software Engineer, Applied AI

Join a small, ambitious team to build AI agents that streamline workflows in doctors' offices.

Location
San Francisco, CA
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 9 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Lassie → Save job Scanned from lassie.ai

AI in the day-to-day

Engineers work with frontier models to build AI agents for healthcare workflows.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In this role, the engineer will develop AI agents that streamline operations in doctors' offices, focusing on building reliable production systems that manage sensitive patient data. Proficiency in Python, data pipeline design, and experience with various databases and orchestration systems are essential for success. This position is ideal for someone with a strong engineering background who values reliability and is eager to tackle complex challenges in a small, ambitious team. Lassie emphasizes a culture of craft and direct communication, making it a fitting environment for innovative thinkers.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Django, Google Cloud Platform, PostgreSQL, Pydantic AI, Python, React.
What seniority level is this role?
Lassie targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Applied AI role at Lassie.

From the original posting

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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