Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Applied Healthcare AI Engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $100K - $150K
- Posted
- 8H AGO
About the role
About the role
About Syntra
Syntra is building the intelligence layer for medical charts: a unified system of record that aggregates data across point solutions and enables AI agents to automate administrative work. Our customers start with Syntra’s chart and claim audit and build additional agents from there.
We have a in person engineering and product team in San Francisco.
Traction snapshot:
- We launched 1 year ago. Syntra processes $200M+ insurance collections annually and over 1M new patient encounters.
- We consistently grow bookings or live revenue by at least 10-25% a month.
- We are on track to 8-10x bookings y/y by the end of ‘26.
- 80% of Syntra customers buy more Syntra software and 30% more than double their spend in the first year.
About the role
You will get to work on agent systems that process hundreds of millions of medical collections across millions of patient encounters.
There are both clinical and administrative AI related applications that we build on top of the core intelligence layer for our customers, and you will get to build the infrastructure to process the unstructured data to best apply to those downstream workflows.
If you apply please send your github and a quick blurb about your most impressive research project or personal project.
About Syntra
Syntra is a real-time medical AI audit platform for revenue, compliance, and care quality.
In our first year post launch, Syntra has already audited over 1M patient encounters and over $200M in insurance collections, supporting hundreds of practice locations nationwide.
Our customers start with Syntra’s chart and claim audit and build additional agents from there. Our agents learn each practice’s workflows, payer rules, and software stack on its own, enabling us to give every clinic in the country the operating efficiency they need to stay independent.
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