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Medical Ai Engineer Jobs (NOW HIRING)

NxT Level

Senior AI Engineer

Manhattan, NY · On-site

$200K - $300K/yr

Senior / Principal AI Engineer (Generative AI, Multi-Agent Systems) Location: New York City (Hybrid ... Custom workflows for domain-specific medical reasoning Clinical Data Infrastructure * HIPAA ...

NxT Level

Senior AI Engineer

Manhattan, NY

$200K - $300K/yr

Senior / Principal AI Engineer (Generative AI, Multi-Agent Systems) Location: New York City (Hybrid ... Custom workflows for domain-specific medical reasoning Clinical Data Infrastructure * HIPAA ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent practical experience. * Several years of experience in ML evaluation or medical imaging AI.

Doctronic Inc

Senior AI Engineer

New York, NY · On-site

$200K - $300K/yr

Senior AI Engineer Doctronic | New York City ONSITE (Hybrid) | Reports to CEO The Mission Let ... Real-time inference systems handling millions of medical consultations each month * Custom ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher , you will own customer engagements end-to-end -- from defining ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field -- or ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher , you will own customer engagements end-to-end - from defining ... Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field -- or equivalent practical experience. * Several years of experience in ML evaluation or medical imaging AI.

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

Ann Arbor, MI

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

San Francisco, CA

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Max AI, Inc.

AI Engineer

Birmingham, MI · On-site

$150K - $250K/yr

Medical doctors who code are rare. We have the best one in the world. His previous apps have driven ... And our Head of Engineering was one of the earliest engineers at Figma. AI Engineer ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

Senior AI Engineer / Machine Learning Engineer / Python Software Engineer Location: San Jose, CA ... Medical, dental, and vision coverage * Opportunity to create lasting impact within a growing ...

Scout AI

AI Engineer

Sunnyvale, CA

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... Premium medical, dental, and vision plans with $0 paycheck contribution * Competitive PTO and ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... Premium medical, dental, and vision plans with $0 paycheck contribution * Competitive PTO and ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... WHAT YOU'LL DO As an AI Engineer, you will be instrumental in developing and implementing Ascend ...

Kforce Technology Staffing

AI Engineer

Manhattan, NY · On-site

We are seeking an experienced Applied AI Engineer with a strong background in JavaScript ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Cyclotron, Inc.

AI Engineer

Chicago, IL · Remote

$100K - $140K/yr

AI Engineer Location: Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada ... We provide competitive health, dental, and vision insurance, and we cover 100% of employee medical ...

Mastech Digital

AI Engineer

Pittsburgh, PA · Remote

$70 - $76/hr

AI Engineer Primary Skills: Python Role Description: The AI Engineer must have 3+ years of ... We have various coverages and additional benefits to choose from: - Medical, Dental (Including ...

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All JobsMedical Ai Engineer Jobs

Medical Ai Engineer information

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$16

$44

$70

How much do medical ai engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for medical ai engineer in the United States is $44.03, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $51.92 per hour, depending on experience, location, and employer.

What are some common challenges Medical AI Engineers face when integrating AI solutions into healthcare settings?

Medical AI Engineers often encounter challenges such as ensuring data privacy and compliance with healthcare regulations like HIPAA, managing the complexity and variability of clinical data, and achieving interoperability with existing hospital information systems. Additionally, they must work closely with clinicians and IT staff to validate models and ensure that AI outputs are clinically relevant and actionable. Overcoming these challenges requires strong communication skills, a deep understanding of both AI technologies and healthcare workflows, and a proactive approach to continuous learning.

What are the key skills and qualifications needed to thrive as a Medical AI Engineer, and why are they important?

To thrive as a Medical AI Engineer, you need a solid background in computer science, machine learning, and biomedical engineering, often supported by relevant degrees or certifications. Familiarity with programming languages like Python, medical imaging software, and platforms such as TensorFlow or PyTorch is essential. Strong problem-solving abilities, collaboration, and clear communication skills help translate complex clinical needs into technical solutions. These competencies ensure the development of reliable, ethical AI systems that improve patient outcomes and meet healthcare standards.

What is the difference between Medical Ai Engineer vs Data Scientist in Healthcare?

AspectMedical Ai EngineerData Scientist in Healthcare
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of healthcare dataDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentHealthcare tech companies, hospitals, research labsHealthcare organizations, research institutions, tech firms
Industry UsageDevelops AI models for medical diagnostics, imaging, and treatmentAnalyzes healthcare data to find insights, trends, and improve patient outcomes

Medical Ai Engineers focus on creating AI solutions specifically for medical applications, while Data Scientists analyze healthcare data to inform decisions. Both roles require strong technical skills and often overlap, but Medical Ai Engineers are more involved in developing AI models for clinical use.

What are Medical AI Engineers?

Medical AI Engineers are professionals who design, develop, and implement artificial intelligence solutions specifically for healthcare applications. They work on projects such as diagnostic tools, predictive models, and medical imaging analysis to improve patient outcomes and streamline clinical workflows. Their work combines expertise in machine learning, data science, and medicine, often collaborating with clinicians and researchers to ensure that AI systems are accurate, ethical, and secure. Medical AI Engineers play a crucial role in advancing medical technology and making healthcare more efficient and accessible.
What cities are hiring for Medical Ai Engineer jobs? Cities with the most Medical Ai Engineer job openings:
Infographic showing various Medical Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $91,574 per year, or $44 per hour.
Senior AI Engineer

Senior AI Engineer

NxT Level

Manhattan, NY • On-site

$200K - $300K/yr

Full-time

Re-posted 5 days ago

Job description

Senior / Principal AI Engineer (Generative AI, Multi-Agent Systems)
Location: New York City (Hybrid - 3 days onsite)
Compensation: $200,000 - $300,000 + equity
Contact / Apply: stephaniecarr@nxtlevel.io
About Our Client
Our client is building AI systems that support real clinical workflows at scale-delivering high-quality medical reasoning, documentation, and triage while meeting the reliability bar required in regulated healthcare environments. This is a high-impact role for engineers who want to ship production AI that directly affects patient care.
The Role
We're hiring a Senior / Principal AI Engineer to build core AI systems, clinical data infrastructure, and safety layers that enable reliable, real-time medical AI. You'll work on multi-agent reasoning, RAG pipelines over large clinical knowledge bases, model optimization, and high-throughput inference-alongside infrastructure for EHR integrations and human-in-the-loop escalation.
This is a high-ownership role suited for engineers who can move from research → production and design systems that are measurable, debuggable, and safe.
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 structured for LLM consumption
  • Fine-tuning and model distillation to improve performance and efficiency
  • Real-time inference systems supporting millions of medical consultations monthly
  • Custom workflows for domain-specific medical reasoning

Clinical Data Infrastructure
  • HIPAA-compliant NLP pipelines extracting structured data from patient conversations
  • QHIN integrations for automated EHR data retrieval and reconciliation
  • Intelligent triage systems routing between AI and human providers
  • Documentation generation aligned to provider-specific protocols

Safety & Scale
  • Emergency detection with sub-second escalation to human oversight
  • Validation layers targeting 99%+ treatment plan accuracy
  • Distributed systems handling rapid growth and peak loads
  • Fail-safe mechanisms for critical path decisions in regulated environments

You may also work on voice/video AI interfaces, multilingual medical NLP, predictive health modeling, and infrastructure designed for the next billion patient interactions.
Responsibilities
  • Design and ship production-grade LLM systems with strong evaluation, observability, and reliability guarantees
  • Build multi-agent orchestration patterns (routing, tool-use, consensus, and failure handling)
  • Develop retrieval + grounding layers (knowledge ingestion, indexing, ranking, citation/traceability)
  • Improve model performance through fine-tuning, distillation, optimization, and latency/cost tradeoffs
  • Implement safety systems: escalation paths, validation layers, monitoring, and guardrails
  • Collaborate cross-functionally with product, clinical, and engineering partners to translate requirements into measurable systems

Required Qualifications
Education & Background
  • CS degree or equivalent demonstrated expertise
  • Hard science degrees (Physics/Math/Engineering) welcome with strong technical foundation
  • Preference for graduates from top programs (where demonstrated rigor is clear)
  • Preference for founders / founding engineers / substantial startup experience
  • Independent problem solver who collaborates well cross-functionally

Technical Expertise
  • 7+ years engineering experience with deep LLM / generative AI expertise
  • Strong knowledge of foundation models (OpenAI, Anthropic, LLaMA-class models)
  • Experience shipping production AI systems with real-time inference constraints
  • Strong Python; experience with PyTorch and/or TensorFlow and modern AI frameworks
  • Experience with prompt engineering, fine-tuning, and model optimization for specialized domains

Preferred Qualifications
  • AI systems for healthcare, medical, or life sciences applications
  • Familiarity with medical terminology, clinical workflows, and standards (HL7, FHIR)
  • Experience with medical AI safety, bias detection, and fairness in healthcare
  • Domain-specific NLP experience (classification, extraction, summarization)
  • Worked directly with medical professionals or in regulated healthcare environments
  • Published AI/ML research (especially healthcare or safety-critical)
  • Seed/Series A experience in AI or healthcare

Why This Role
  • Build systems that operate at the intersection of AI + safety + real clinical scale
  • High ownership over architecture and reliability-shipping production AI, not demos
  • Work on multi-agent reasoning, RAG, real-time inference, and healthcare integrations in one role
  • Mission-driven impact: improving workflows and outcomes for patients and clinicians

Apply