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.
Non-Negotiable
Fully in person in Dumbo, Brooklyn.
Stack
- TypeScript and React on the frontend.
- Python and FastAPI on the backend.
Compensation
Competitive base salary, early-stage equity, unlimited PTO, and benefits.