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Physician Prompt Engineer Jobs (NOW HIRING)

Matic

Full-Stack Engineer

Dallas, TX · On-site +1

... physician systems. To learn more about how Matic orchestrates intelligence across the care-to ... Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$100 - $125/hr

Why USA Clinics Group Founded by Harvard‑trained physicians with a vision of offering ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

Vein Clinics of America, Inc.

LLM Engineer

Northbrook, IL · On-site

$100 - $125/hr

Why USA Clinics Group Founded by Harvard‑trained physicians with a vision of offering ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

Regard

Full Stack Software Engineer

New York, NY · On-site

$160K - $190K/yr

You'll also have the opportunity to prototype new ways physicians interact with AI-generated ... AI/ML: LangChain, OpenAI / Anthropic APIs, Langfuse (LLM observability), prompt engineering ...

BPD

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use, skills * Data domains: healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the ... Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and ...

Interwell Health

Machine Learning Engineer

Interwell Health is a kidney care management company that partners with physicians on its mission ... prompt engineering and LLM-based capabilities. What You'll Do * Develop and deliver end-to-end ...

WebMD LLC

AI Engineer

Newark, NJ · On-site

$60 - $80/hr

... physicians, healthcare professionals, employers and health plans through our public and private ... Proficiency in prompt engineering and context engineering. * Experience with no-code/low-code ...

WebMD

AI Engineer

Newark, NJ · On-site

$50K - $75K/yr

... physicians, healthcare professionals, employers and health plans through our public and private ... Proficiency in prompt engineering and context engineering. * Experience with no-code/low-code ...

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Physician Prompt Engineer information

What is a physician prompt engineer?

A Physician Prompt Engineer is a professional who specializes in developing, optimizing, and managing prompts for artificial intelligence systems used in healthcare settings. They work at the intersection of medicine and technology, ensuring that AI tools like large language models generate accurate, safe, and effective responses for clinical applications. Often, Physician Prompt Engineers have both medical knowledge and experience in AI or data science, allowing them to translate clinical needs into precise instructions for AI models. Their role is crucial for improving diagnostic tools, clinical decision support, and patient communication powered by AI.

How does a physician prompt engineer typically collaborate with clinicians and data scientists to improve healthcare AI models?

A Physician Prompt Engineer works closely with clinicians to understand real-world medical workflows and clinical decision-making, translating these insights into effective prompts for AI healthcare models. They also partner with data scientists to refine prompt strategies based on model performance and feedback, ensuring that outputs are clinically relevant and accurate. Regular interdisciplinary meetings and iterative testing sessions are common, fostering an environment where medical expertise and technical know-how combine to optimize healthcare AI tools.

What are the key skills and qualifications needed to thrive as a physician prompt engineer, and why are they important?

To thrive as a Physician Prompt Engineer, you need a strong background in medicine, clinical workflow knowledge, and expertise in natural language processing or AI prompt engineering, often supported by a medical degree and technical training. Familiarity with AI platforms, EHR systems, and prompt development tools is typically required, along with certifications in healthcare informatics or AI. Exceptional problem-solving, interdisciplinary collaboration, and clear communication help bridge the gap between clinical needs and technical solutions. These skills ensure that AI-driven tools are safe, effective, and truly supportive of healthcare providers and patient care.

What is the difference between Physician Prompt Engineer vs Medical AI Specialist?

AspectPhysician Prompt EngineerMedical AI Specialist
Required CredentialsMedical degree, clinical experience, AI/tech familiarityMedical background, data science or AI training
Work EnvironmentHealthcare settings, AI development teamsResearch labs, healthcare tech companies
Industry UsageDesigning prompts for clinical AI toolsDeveloping and deploying medical AI models

Physician Prompt Engineers focus on creating effective prompts for AI tools used in clinical settings, leveraging their medical expertise. Medical AI Specialists develop and optimize AI algorithms for healthcare applications. While both roles require medical knowledge, Physician Prompt Engineers emphasize prompt design, whereas Medical AI Specialists focus on AI model development.

What are popular job titles related to Physician Prompt Engineer jobs?

For Physician Prompt Engineer jobs, the most frequently searched job titles are:

Infographic showing various Physician Prompt Engineer job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution.

Full-Stack Engineer

Dallas, TX • On-site, Remote

Matic
See more jobs at Maticexternal

Full-time

Re-posted 13 days ago

Key responsibilities

  • Lead new application development for healthcare group partnerships, including designing UIs, defining database schemas, setting up cloud infrastructure, and building API integrations with partner tools and workflows.

  • Build and maintain full-stack features in the SvelteKit application, including front-end implementation and back-end API development.

  • Deploy and maintain Google Cloud infrastructure, including Cloud Run, Cloud Functions, and other GCP services, in Node.js and Python runtimes.

Job description

Matic is an AI-native clinical intelligence platform designed to orchestrate care-to-collection workflows the way clinicians actually practice. Through a growing suite of modular AI agentic solutions, Matic connects clinical documentation, summaries, coding, workflow, and follow-up into a unified and connected intelligence layer that preserves clinical intent, reduces fragmentation, and integrates seamlessly within existing physician systems.
To learn more about how Matic orchestrates intelligence across the care-to-collection lifecycle, visit maticinside.ai.
About the role
We're looking for a versatile Full-Stack Engineer who is comfortable owning work end-to-end - from polished SvelteKit UIs to Python/Node backend APIs to cloud infrastructure. A key part of this role will be leading application development for a new healthcare group partnership, where you'll take projects from zero to one: implementing UIs from Figma, defining database schemas, architecting cloud function infrastructure, and building integrations with the tools and systems our health group partners already use.
Beyond that greenfield work, you'll wear multiple hats across the broader Matic platform. Some days you will be building new product features, other days debugging an AI output quality issue with a physician or wiring up an EHR integration. If you thrive in dynamic environments and want your work to have a direct, meaningful impact on healthcare, this role is for you.
What you'll do
  • Lead new application development for healthcare group partnerships, generating AI mockups to communicate functionality and design direction, proposing database schemas, setting up cloud infrastructure, and building API integrations with existing partner tools and workflows - all in close collaboration with the Matic team.
  • Build and maintain full-stack features in our SvelteKit application, owning both front-end implementation and back-end APIs.
  • Deploy and maintain Google Cloud infrastructure across Cloud Run, Cloud Functions, and other GCP primitives in both Node.js and Python runtimes.
  • Develop and maintain LLM integrations, including prompt engineering, model routing, evaluation, and output quality testing across hosted and self-managed AI platforms.
  • Build agentic AI workflows that automate clinical documentation tasks and integrate our platform with EHR systems (e.g., Epic, eClinicalWorks, Athena) via FHIR and proprietary APIs.
  • Triage and resolve AI quality issues flagged by physicians, diagnosing failure modes in note generation and applying targeted fixes.
  • Write comprehensive tests and actively participate in QA to ensure our AI deployments work reliably in clinical settings.
  • Collaborate directly with physicians to understand clinical workflows firsthand and translate their feedback into product improvements.

Qualifications
Required
  • Strong Python and/or Node.js skills, including REST APIs, async patterns, and serverless functions
  • Production experience with SvelteKit and TypeScript
  • Proficiency with Tailwind CSS and the ability to translate Figma designs into polished UI
  • Hands-on experience with Google Cloud Platform, including Cloud Run, Cloud Functions, GCS, IAM, and related services
  • Firebase / Firestore experience
  • Practical experience working with LLM APIs (OpenAI, Anthropic, Gemini, or similar), including prompt engineering, function calling, and output evaluation
  • Rigorous attention to detail and a strong testing mindset; our systems operate in clinical environments where errors have real consequences, and we hold a strict "don't ship broken" standard regardless of how the code was written
  • Fluent English with clear written and verbal communication skills - essential when working directly with clinical users
Preferred
  • Experience with EHR integrations or FHIR standards
  • Background in or exposure to healthcare / clinical workflows
  • Familiarity with agentic frameworks
  • Experience with vector databases or RAG pipelines
  • Experience building instrumentation dashboards
  • Experience building test suites
  • Experience with AI-led workflows
  • Experience with deep product analytics
Why This Role?
  • The new healthcare partner application is greenfield, meaning you'll make the foundational decisions that shape what it becomes rather than inheriting someone else's architecture.
  • The features you build are used by physicians during patient encounters, the quality issues you fix affect real documentation, and the integrations you wire up reduce real administrative burden. The impact is direct and tangible.
  • From SvelteKit to GCP to LLM integrations to EHR APIs, this isn't a role where you specialize yourself into a corner. You'll develop depth across the full delivery surface of a modern AI platform.
  • Matic is a small, senior, focused team. There's no layer of abstraction between your work and the people who depend on it - internally or in the field.

Apply