- Salary
- $120k – $150k
- Location
- San Francisco, New York, New York, California
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Source
- RecruiterFlow
Description
About the client:
Location: New York City (Hybrid; some weeks may require up to 5 days/week in-office, other weeks only 1 days but we average 3 days a week)
Role Overview
We’re an early-stage, venture-backed startup building AI systems for medical coding and revenue cycle workflows. We’re looking for a Founding AI Engineer to take end-to-end ownership of core AI systems—from data ingestion and retrieval to model adaptation and production deployment.
This is a hands-on role in a fast-paced environment with high responsibility and meaningful equity upside.
What You’ll Work On
-
Design and build RAG systems over clinical notes, billing data, and coding guidelines
-
Adapt and fine-tune LLMs (LoRA/QLoRA, instruction tuning) 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
What We’re Looking For
-
Experience building and shipping LLM + RAG systems in production
-
Hands-on experience with model adaptation or fine-tuning techniques
-
Strong backend engineering skills (Python, TypeScript, or similar)
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Comfortable working with messy, real-world data and production systems
-
Ownership mindset and ability to move quickly in an early-stage startup
Nice to Have
-
Healthcare, EHR, or medical coding experience (ICD-10, CPT, HCPCS)
-
Experience handling PHI and working in HIPAA-regulated environments
-
Familiarity with Vertex AI or high-performance inference
-
NYC-based or able to be in-office periodically
Compensation
-
Base Salary: $120,000 – $150,000
-
Equity: Meaningful early-stage equity
