Senior Software Engineer (Backend + Infra)

Build the Foundation for the Next Generation of Healthcare AI

We want every patient to have a doctor best friend: who tells them what their symptoms mean and where to go, who listens in on their critical appointments and explains the meaning of notes, and who gathers support from the community.

An end-to-end generative AI solution allows us to do that. As the first step, we have recently launched an LLM-powered symptom checker, MDandMe (https://mdme.ai). In less than two three, almost 30 thousand people used MDandMe to get help with their medical problems. Their feedback has been outstanding and you can read more in our blog: https://auxhealth.io/blog/2024/02/08/intro-mdme

Members of our founding team led development of the first LLM-powered patient interview system as part of a pre-chatGPT partnership with OpenAI, modeled user behavior at Meta, and trained at Harvard Medical School.

What you will do

Help us better utilize our existing infrastructureImprove observability and alertingHelp refactor and improve performance of our backend servicesHelp improve our data modelHelp improve our APIs for both our own front end and third party usageHelp improve our ETL/data warehouse

Key qualifications

Significant self-drive and autonomy, we’re small team that values high agency and high ownership. We work together and collaborate but you will have primary responsibility over a large amount of scopeSignificant experience developing Python applications (our main service is a FastAPI monolith)Significant experience with SQL and relational databases (we use Postgres)Significant experience with Azure (our main cloud provider)Experience with GCP (use it for some of our services)

Good to have but not required

Experience efficiently serving ML modelsStartup experienceHealthcare experienceD2C product experience

What we offer

Significant growth opportunities as one of the first employees at a fast-growing startupCompetitive salary and a generous equity packageThe freedom and flexibility of a fully remote working environment