Want to know if this job is worth applying to?
New York, New York, United States
Onsite
Healthcare runs on documents, and that work is still painfully manual. Medsender’s AI Medical Assistant® automates the drudgery—classifying documents, extracting key fields, syncing data to EHRs, and automates workflows—so clinicians can focus on care and patients can be seen faster. In the past year alone, providers saved millions of hours using Medsender. We integrate with leading EHRs and deliver mission‑critical reliability for thousands of providers.
The opportunity: We’re small, shipping fast, and tackling high‑impact problems at the intersection of AI, healthcare data, and reliability. You'll take ownership of meaningful systems, grow alongside a high-caliber team, and have an outsized impact on what we build and how we build it.
Own meaningful components within our core systems: From design to production—across our AI‑powered intake, referral, and document automation pipelines.
Build for scale & correctness in a regulated environment: resilient workflows, idempotent jobs, auditability, and strong observability.
Ship AI features responsibly: integrate LLMs into product workflows (prompting, retrieval, eval harnesses, safety guardrails), optimize performance, and measure real‑world impact.
Integrate with EHRs/EMRs and third‑party systems; design stable APIs and event‑driven services that keep patient charts in sync.
Partner with product & customers to turn ambiguous workflows into clean, scalable automation.
30 days: You’ve ramped on a core service, shipped a meaningful production change, and authored a concise design doc for upcoming work.
60 days: You're operating independently in your area. You are owning a feature or component, driving its design and delivery, and contributing to decisions beyond your immediate work.
90 days: You’ve delivered a substantive project end-to-end.
Senior scope: 4-7 years building production systems (or equivalent impact) and a track record of delivering complex projects independently.
Strong backend fundamentals: service design, data modeling, transactions, background processing, performance profiling, observability.
Pragmatic builder: you write crisp design docs, slice scope intelligently, and iterate with tight feedback loops.
Excellent communicator who collaborates effectively across functions and brings clarity in ambiguous environments.
Security & privacy mindset (bonus if you’ve worked with PHI or in regulated environments).
Nice to have
Ruby on Rails or Python at scale; polyglot comfort (we use Python, Ruby, JavaScript, Go).
Experience integrating LLMs in production (prompt/RAG patterns, evaluation frameworks, and safety/guardrails).
GCP & Kubernetes, and modern observability (OpenTelemetry).
SQL depth (MySQL) and data pipeline experience.
Early‑stage startup experience (0→1 and 1→N).
Competitive salary and equity package (early exercise, extended exercise).
Great health benefits! (includes health, dental, and vision).
Unlimited paid time off (PTO) and holiday schedule to support work.
Regular company off-sites and engineering meetups.