Founding AI Engineer - Medical Coding & LLM Systems

Recruiting from Scratch

New York (NY)

Hybrid

USD 140,000 - 190,000

Full time

10 days ago

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Job summary

Recruiting from Scratch is partnering with an early-stage AI healthcare startup in New York to build end-to-end ML systems for medical coding and revenue cycle workflows. We’re seeking a Founding AI Engineer to own core AI systems from data ingestion to production deployment.

This hands-on role offers meaningful equity upside and a hybrid office schedule. You will design RAG systems, tune LLMs, and work with GCP-based infrastructure, EHR integrations, and healthcare data, in a fast-paced startup

Qualifications

  • Experience building and shipping LLM + RAG systems in production.
  • Hands-on experience with model adaptation or fine-tuning techniques.
  • Comfortable working with messy, real-world data and production systems.
  • Ownership mindset and ability to move quickly in an early-stage startup.

Responsibilities

  • Design and build RAG systems over clinical notes, billing data, and coding guidelines.
  • Adapt and fine-tune LLMs for medical coding and explanations.
  • Help architect and operate GCP-based infrastructure (Cloud Run/GKE, Vertex AI, BigQuery, Pub/Sub).
  • Build evaluation and feedback loops to measure accuracy and quality.
  • Own integrations with EHRs, RCM systems, and other healthcare data sources.

Skills

LLM + RAG in prod
Model adaptation / fine-tuning
Data ingestion & production deployment
GCP infrastructure

Tools

Vertex AI
BigQuery
GKE
Cloud Run
Pub/Sub

Job description

Recruiting from Scratch is partnering with an early-stage AI healthcare startup in New York to build end-to-end ML systems for medical coding and revenue cycle workflows. We’re seeking a Founding AI Engineer to own core AI systems from data ingestion to production deployment.

This hands-on role offers meaningful equity upside and a hybrid office schedule. You will design RAG systems, tune LLMs, and work with GCP-based infrastructure, EHR integrations, and healthcare data, in a fast-paced startup

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