Software Engineer

Build agentic systems for medical record retrieval across fax, email, portals, and mail. Work across frontend (TypeScript/React), backend (Python/FastAPI), and applied AI in a fully onsite Brooklyn role.

About the job

The Work

The core challenges are data complexity and reliability under extreme variability.

Building agentic systems that run end to end across fax, email, web portals, and physical mail, where each document type triggers a different workflow.
Processing records that average 300 pages, sometimes hit 30,000, and run roughly 70% duplicate, and still surfacing what matters to a case.
Matching patients and facilities across messy provider networks, where a single system like NYU Langone is 340+ care locations with no clean way to match them.

You'll move between automating the retrieval pipeline, the customer-facing product law firms use to request and view records, and the applied AI threaded through both. Ship customer-facing product one month and go deep on the pipeline the next.

Who We're Looking For

Have shipped features start to finish in production and want to own outcomes.
Go deep on the domain: the data systems and the workflows our agents run.
You've explored LLMs and are excited about turning them into reliable systems.
Want to talk to users directly and ship off their feedback.
Are excited to apply real engineering rigor to a messy, economically valuable problem.