Senior AI Engineer (Healthcare)
Location: New York City — On-site
Employment Type: Full-time | Department: Engineering
Compensation: $200,000–$350,000 + Equity
Overview
We’re hiring a world-class Senior AI Engineer to build cutting-edge systems for an AI doctor platform. You’ll design and deploy safety-critical, production AI that delivers diagnostic reasoning, chronic disease management, and seamless healthcare data processing—all with rigorous accuracy and clinical safeguards.
What You’ll Build
Core AI Architecture
Multi-agent consensus: specialized models debate cases before reaching conclusions.
RAG at scale: pipelines ingesting thousands of clinical guidelines curated for LLMs.
Real-time inference: optimize latency and throughput for millions of daily consultations.
Domain workflows: custom reasoning chains for condition- and specialty-specific care.
Clinical Data Systems
HIPAA-compliant NLP: extract structured data from patient conversations.
EHR connectivity: integrate with QHINs for automated retrieval/reconciliation.
Intelligent triage: route cases between AI and clinicians via complexity scoring.
Documentation: generate notes that conform to provider protocols and coding rules.
Safety & Scale Infrastructure
Emergency detection with sub-second human escalation.
Validation layers targeting 99%+ plan accuracy vs. clinical standards.
Distributed systems for explosive peak loads and rapid user growth.
Fail-safes for regulated, critical-path decisions.
You’ll also tackle voice/video interfaces, multilingual medical NLP, predictive health modeling, and the platform foundation for the next billion patient interactions.
Required Qualifications
Education & Background
BS in CS (or equivalent experience). Hard-science degrees (Physics/Math/Engineering) welcome.
Startup DNA preferred: founding engineer, founder, or deep early-stage experience.
Proven self-direction with excellent cross-functional collaboration.
Technical Expertise
7+ years engineering; expert in LLMs and generative AI.
Deep experience with OpenAI GPT, Anthropic Claude, LLaMA, and other FMs.
Strong prompt engineering, fine-tuning, and model optimization in specialized domains.
Built real-time production AI systems.
Proficient in Python and TensorFlow/PyTorch; modern AI tooling.
Preferred Qualifications
Healthcare/med-tech AI experience; familiarity with HL7, FHIR, clinical workflows.
Safety, bias detection, and fairness in medical AI.
Domain NLP research/implementation.
Worked with clinicians or in regulated environments.
Publications in AI/ML (healthcare/safety-critical a plus).
Seed/Series A startup experience.
Advanced degree in CS/AI/ML or related field.
What We Offer
Competitive base + meaningful equity at a seed-stage company with top-tier investors.
Direct impact building AI that transforms care for millions of patients.
High autonomy and technical leadership, reporting to the CEO.
Access to cutting-edge models, tooling, and clinical advisors.
Collaboration with leading physicians and AI researchers.
Benefits reimbursement.