Senior AI Engineer
External
Doctronic · New York CityPrepare for this interview
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Requirements
- AI systems for healthcare, medical, or life sciences applications
- Medical terminology, clinical workflows, healthcare data standards (HL7, FHIR)
- Medical AI safety, bias detection, fairness in healthcare
- NLP for domain-specific applications
- Work with medical professionals or regulated healthcare environments
- Published research in AI/ML, especially healthcare or safety-critical applications
- Seed/Series A experience in AI or healthcare
- Advanced degree in CS, AI/ML, or related field
Benefits
Additional Information
Senior AI Engineer Doctronic | New York City ONSITE (Hybrid) | Reports to CEO The Mission Let's make healthcare free and accessible to everyone through AI. We're building an AI doctor that already handles millions of consultations - our goal is to scale this to billions while maintaining medical safety and accuracy. What You'll Build Core AI Systems Multi-agent consensus architectures where specialized models debate cases before conclusions RAG pipelines processing thousands of clinical guidelines built for LLM consumption Fine tuning and model distillation to support efficient performance Real-time inference systems handling millions of medical consultations each month Custom workflows for domain-specific medical reasoning Clinical Data Infrastructure NLP pipelines extracting structured data from patient conversations (HIPAA-compliant) QHIN integrations for automated EHR data retrieval and reconciliation Intelligent triage systems routing between AI and human providers Documentation generation matching provider-specific protocols Safety & Scale Emergency detection with sub-second escalation to human oversight Validation layers ensuring 99%+ treatment plan accuracy Distributed systems handling rapid growth and peak loads Fail-safe mechanisms for critical path decisions in regulated environments You'll also work on voice/video AI interfaces, multilingual medical NLP, predictive health modeling, and infrastructure for the next billion patient interactions. How We Work Engineering-first org: no project managers, just senior engineers Flat structure with direct CEO reporting and high autonomy Own features end-to-end from minimal specs to production AI coding tools encouraged Ship fast with good judgment; daily standups for alignment, not micromanagement Required Qualifications Education & Background CS degree OR equivalent demonstrated expertise Hard science degrees (Physics, Math, Engineering) welcomed with strong technical foundation Preference for graduates from top programs at top universities Preference for founders, founding engineers, or extensive startup experience Independent problem solver who collaborates well cross-functionally Technical Expertise 7+ years engineering with LLM and generative AI expertise Deep knowledge of OpenAI GPT, Anthropic Claude, Meta LLaMA, and foundation models Production AI systems with real-time inference requirements Python, TensorFlow/PyTorch, modern AI frameworks Prompt engineering, fine-tuning, model optimization for specialized domains
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