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Principal AI Engineer

Nxt Level | New York City, United States | Yesterday
$200,000 – $350,000/yr| full-time | remote | lead | 7+ years | bachelor in Computer Science
skills: llms, generative ai, prompt engineering, fine-tuning, model optimization, python, tensorflow, pytorch, nlp, hl7, fhir, distributed systems, openai gpt, anthropic claude, llama

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.

Benefits

equity · medical · reimbursement
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