NxT Level
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr