I don’t think that’s a safe foregone conclusion. What we’ve seen so far is very very powerful pattern matchers with emergent properties that frankly we don’t fully understand. It very well may be the road to AGI, or it may stop at the kind of things we can do in our subconscious—but not what it takes to produce truly novel solutions to never before seen problems. I don’t think we know.
Ascertain | NYC (Hybrid ~3d/week) | Full-time | $180k–$280k + equity | Healthcare AI | Senior Engineers: Backend, Frontend, AI
Ascertain is a healthcare AI startup backed by Northwell (New York's largest health system) and Deerfield. We're a small team automating the painful admin work that clogs up the U.S. healthcare system — things like prior authorizations, discharge planning, and insurance claims. Our goal is simple: give time back to clinicians so they can focus on patient care, not paperwork.
We've found early product-market fit and are growing the team thoughtfully. We're hiring senior engineers across the stack: backend, frontend, and AI/LLM. We're NYC-based and hybrid (most of us come in ~3 days/week). We're not counting badge swipes — we just want teammates who want to be in the room with us often enough to build trust, have fun, and work on hard problems together!
What we're building:
* A general-purpose automation platform for healthcare ops, powered by LLMs
* A system that reads unstructured documents, fills out payer forms, and explains rejections
* Tools to automate patient discharge planning in hospitals
* A foundation for making AI in healthcare safe, observable, and human-in-the-loop
What we're looking for:
* AI Engineer — experience productionizing LLM apps (agents, RAG, embeddings); solid Python; knows how to build ML systems that ship
* Backend Engineer — strong Python/FastAPI; infra-savvy (K8s, Terraform, Docker); thoughtful about API design and scalability
* Frontend Engineer — React/TypeScript expert who's opinionated about UX and happy to dip into backend when needed
More importantly, we're looking for engineers who like open-ended, ambiguous challenges, and want to work with a tight-knit, high-trust team to solve real-world problems.
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