Software Engineer, Applied AI
AI summary of the role
Build end-to-end AI systems for the most widely used medical AI platform, working across products and projects with full ownership.
What you’ll do
- Build end-to-end systems leveraging modern models as components of thoughtful, intentional products
- Work across products and projects, owning work wherever you can create the most impact
- Ship product directly without separate PMs
What you’ll bring
- Brilliant builder with strong intuition for modern AI models
- Smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, low-ego
- Comfortable with end-to-end ownership and building 0->1 and scaling 1->1000
Technologies
AI · LLM · end-to-end systems
About OpenEvidence
Free, ad-supported AI clinical reference for physicians, grounded in peer-reviewed literature; competing with UpToDate, DynaMed, and DoxGPT.
Series D
Source and classification
Internal deployment & tooling · Evidence for this classification:
Role As an Applied AI Software Engineer working at OpenEvidence, you will build end-to-end systems grounded in a strong intuition for how to leverage modern models as components of thoughtful, intentional products. We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact. About Us OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity
More from the job description
Role As an Applied AI Software Engineer working at OpenEvidence, you will build end-to-end systems grounded in a strong intuition for how to leverage modern models as components of thoughtful, intentional products. We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact. About Us OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI. If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk. Culture We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them. Who are you? If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you. The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more. Location All full-time roles on our engineering team are in-person 5 days a week in SF or Miami.
Employer postings · Data from · Sources