Join a small, ambitious team to build AI agents that streamline workflows in doctors' offices.
Posted by employer 10 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 3 hours ago
Skills & Technologies
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
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
Standard company text repeated across Lassie's postings is omitted here.