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Healthcare Ai Prompt Engineer Jobs (NOW HIRING)

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... Background in healthcare, caregiving, or other regulated industries. * Multi-lingual proficiency.

Motion Recruitment

AI Prompt Engineers

Minneapolis, MN · Hybrid

As a Prompt Engineer, you will play a crucial role in our AI development team by designing and developing prompts that enable optimal performance from our AI models and algorithms. Your skills in ...

OVA.Work

AI prompt analyst

... product, engineering, and business teams to translate requirements into AI-driven solutions • Develop prompt libraries, templates, and best practices • Conduct A/B testing and performance ...

Lockedinai

Prompt Engineer

Manhattan, NY · On-site

$100 - $125/hr

Our platform delivers real-time, AI-powered assistance during live job interviews, coding ... The ideal Prompt Engineer combines exceptional language skills with a deep, practical understanding ...

Five9

WEM AQM Prompt Engineer

OR · On-site +1

Five9 is one of the world's leading cloud contact center platforms, and our AI-powered Automated ... Background in compliance-driven QM environments (financial services, healthcare, utilities). Key ...

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Healthcare Ai Prompt Engineer information

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$30.5K

$68.6K

$115.5K

How much do healthcare ai prompt engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for healthcare ai prompt engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What is a Healthcare AI Prompt Engineer?

A Healthcare AI Prompt Engineer is a professional who designs, develops, and optimizes prompts for artificial intelligence systems specifically used in healthcare settings. Their work involves creating effective instructions and queries that enable AI models to produce accurate, reliable, and useful responses for clinical, administrative, or research purposes. These engineers collaborate with healthcare professionals to ensure that AI solutions align with medical standards and improve patient care, safety, and efficiency. They often have expertise in both healthcare practices and AI technologies, including natural language processing and machine learning.

How does a Healthcare AI Prompt Engineer collaborate with clinicians and data scientists?

Healthcare AI Prompt Engineers often work closely with clinicians to understand real-world medical workflows and ensure that AI-generated prompts are clinically relevant and actionable. They also partner with data scientists to refine model outputs, troubleshoot issues, and validate that the prompts align with both technical requirements and healthcare regulations. Regular interdisciplinary meetings and feedback loops are common, ensuring that the developed AI tools are both accurate and practical for end users in healthcare settings. Open communication and adaptability are key to success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a Healthcare AI Prompt Engineer?

To thrive as a Healthcare AI Prompt Engineer, you need a strong background in computer science, machine learning, and healthcare data, often supported by a relevant degree and experience with AI model development. Familiarity with programming languages (such as Python), large language models, prompt engineering frameworks, and healthcare-specific systems like EHRs is essential. Strong analytical thinking, communication skills, and an understanding of clinical workflows help you bridge the gap between technical teams and healthcare professionals. These skills ensure the development of safe, effective AI solutions that align with clinical needs and regulatory standards.

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

AspectHealthcare Ai Prompt EngineerHealthcare Data Scientist
Required CredentialsBackground in AI, machine learning, healthcare knowledge, programming skillsDegree in data science, statistics, computer science, healthcare analytics
Work EnvironmentAI development teams, healthcare tech companies, research labsHospitals, research institutions, healthcare analytics firms
Employer & Industry UsageUsed in AI model development, chatbot creation, clinical decision supportAnalyzing healthcare data, predictive modeling, research studies

While both roles involve working with healthcare data and technology, Healthcare Ai Prompt Engineers focus on designing prompts for AI models to improve healthcare applications, whereas Healthcare Data Scientists analyze healthcare data to generate insights and support decision-making.

Are healthcare AI prompt engineers in demand?

Healthcare AI prompt engineers are increasingly in demand as healthcare organizations adopt artificial intelligence to improve diagnostics, patient care, and data analysis. These roles often require skills in AI, machine learning, and domain knowledge in healthcare, with job growth driven by advancements in medical AI applications and digital health initiatives.

How do I become a healthcare AI prompt engineer?

To become a healthcare AI prompt engineer, you should have a background in computer science, data science, or healthcare informatics, along with strong skills in natural language processing and machine learning. Familiarity with healthcare data, medical terminology, and AI tools like language models is essential, and gaining experience through relevant projects or certifications can enhance your qualifications.

What are popular job titles related to Healthcare Ai Prompt Engineer jobs?

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

Infographic showing various Healthcare Ai Prompt Engineer job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 69% Full Time, 14% Part Time, and 15% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

Prompt Engineer

Austin, TX • On-site

Sensi.ai
See more jobs at Sensi.aiexternal

Full-time

Re-posted 10 days ago

Key responsibilities

  • Design multi-turn dialogue flows for text and voice agents with context awareness and memory handling.

  • Test prompts with recordings, transcripts, and simulations, and analyze live interactions to identify issues and improve prompt quality.

  • Partner with product managers and engineers to integrate prompts, coordinate updates, and maintain a prompt library.

Job description

Why Join Sensi.AI

Sensi.AI is transforming the world of home care through agentic AI - and we’re just getting started. As a hyper-growth startup, every team member has the opportunity to make a real impact on people’s lives while working as part of a global, collaborative team in a flexible hybrid environment.


About the Role

We are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple Sensi.AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. 

You’ll work closely with product managers, who will provide requirements and prioritization, while you focus on crafting and iterating prompts, testing in real-world scenarios, and delivering natural, trustworthy interactions.

This role is based in Austin, TX, with a hybrid work setup, combining in-office collaboration with remote flexibility.


Key Responsibilities

Conversational Design and Prompting

  • Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.
  • Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.


Continuous Testing and Improvement

  • Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.
  • Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.


Collaboration and Delivery

  • Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.
  • Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.


Documentation and Knowledge Sharing

  • Maintain a prompt library with flows, system prompts, and version history and set guidelines for tone, multilingual consistency, and testing.
  • Share insights and learnings with the broader product and AI teams.

Requirements:
  • Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.
  • Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).
  • Ability to define consistent, persona-driven conversational styles across multiple agents and products.
  • Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).
  • Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.
  • Basic programming skills (Python preferred) for testing and prototyping prompts.
  • Strong cross functional partnership and communications skills.


Nice-to-Have

  • Background in healthcare, caregiving, or other regulated industries.
  • Multi-lingual proficiency.


Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.