Rockstar is hiring a full-time AI Implementation Specialist on behalf of a healthcare technology company building the AI infrastructure behind clinical documentation.
This role sits at the intersection of clinical knowledge and applied AI. The person in this seat will design and document AI Note Templates that support clinical users throughout the patient journey build structured GPT-based workflows and turn trusted clinical sources into usable RAG-ready knowledge assets. This isnt about writing loose prompts. Its about building governed structured systems that clinicians can actually trust.
This is a strong fit for someone who thinks in both clinical logic and AI architecture and who wants to help shape how AI-generated notes move from raw output to something a provider would put their name on.
About the Client
This innovative healthcare technology company is transforming how providers deliver care through a Clinical Operating System designed to improve efficiency accuracy and patient outcomes.
Their platform enables healthcare providers to better understand patient data streamline workflows and scale their practices with confidence. As the company continues to grow data migration and processing have become a critical part of successful client implementation especially for practices handling large patient datasets.
Key Responsibilities
Design document and improve AI Note Templates that support clinical users across the patient journey
Use GPT and related tooling to build structured clinical AI workflows including prompt chains output contracts and intermediate reasoning objects
Create and maintain RAG-ready JSON knowledge assets derived from trusted authoritative clinical and educational sources
Translate books protocols articles and internal knowledge into usable AI knowledge structures without relying on ungoverned free-text prompting
Design and document note-generation architectures that incorporate templates provider voice and personality deterministic clinical rules retrieval boundaries patient-scoped context and human-in-the-loop refinement
Partner with product engineering and clinical leadership to shape the broader AI Notes strategy and the companys agentic clinical intelligence features
Help define how AI outputs are structured into final clinical artifacts rather than raw chat responses
Contribute to prototype development and where capable assist with implementation in code
Work with structured data formats such as JSON prompt contracts ontology and tag systems and retrieval schemas
Support the development of clinical intelligence artifacts such as pre-visit notes encounter notes lab review notes treatment intelligence and follow-up intelligence
Help design guardrails that improve safety consistency explainability and provider trust
Tools & Systems
GPT and related AI tooling
JSON prompt contracts ontology/tag systems retrieval schemas
Requirements
Experience designing or working with AI workflows prompt engineering or structured AI systems
Familiarity with clinical documentation EHR workflows or healthcare knowledge systems
Comfortable working with structured data formats such as JSON and retrieval schemas
Ability to translate unstructured source material into governed structured knowledge assets
Strong collaboration skills across product engineering and clinical teams
Coding ability a plus for prototype development
Detail-oriented with a strong sense of what makes AI output safe explainable and trustworthy in a clinical setting
Non-Negotiables
Proven experience building structured AI workflows not just free-text prompting
Ability to work directly with JSON prompt contracts and retrieval schemas
Understanding of what it takes to make AI output clinically safe and trustworthy
Benefits
Competitive salary commensurate with experience.
Opportunities for professional development and growth.
Work in a dynamic and supportive team environment.
Make a meaningful impact by helping to build and strengthen families across the Globe
Required Skills:
Prompt Engineering GPT RAG (Retrieval-Augmented Generation) JSON Prompt Chains AI Workflow Design Clinical Documentation EHR Systems Ontology/Tag Systems Retrieval Schemas Structured Data AI Note Templates Healthcare AI Clinical NLP Python AI Guardrails LLM Implementation
This is a remote position.Rockstar is hiring a full-time AI Implementation Specialist on behalf of a healthcare technology company building the AI infrastructure behind clinical documentation.This role sits at the intersection of clinical knowledge and applied AI. The person in this seat will des...
This is a remote position.
Rockstar is hiring a full-time AI Implementation Specialist on behalf of a healthcare technology company building the AI infrastructure behind clinical documentation.
This role sits at the intersection of clinical knowledge and applied AI. The person in this seat will design and document AI Note Templates that support clinical users throughout the patient journey build structured GPT-based workflows and turn trusted clinical sources into usable RAG-ready knowledge assets. This isnt about writing loose prompts. Its about building governed structured systems that clinicians can actually trust.
This is a strong fit for someone who thinks in both clinical logic and AI architecture and who wants to help shape how AI-generated notes move from raw output to something a provider would put their name on.
About the Client
This innovative healthcare technology company is transforming how providers deliver care through a Clinical Operating System designed to improve efficiency accuracy and patient outcomes.
Their platform enables healthcare providers to better understand patient data streamline workflows and scale their practices with confidence. As the company continues to grow data migration and processing have become a critical part of successful client implementation especially for practices handling large patient datasets.
Key Responsibilities
Design document and improve AI Note Templates that support clinical users across the patient journey
Use GPT and related tooling to build structured clinical AI workflows including prompt chains output contracts and intermediate reasoning objects
Create and maintain RAG-ready JSON knowledge assets derived from trusted authoritative clinical and educational sources
Translate books protocols articles and internal knowledge into usable AI knowledge structures without relying on ungoverned free-text prompting
Design and document note-generation architectures that incorporate templates provider voice and personality deterministic clinical rules retrieval boundaries patient-scoped context and human-in-the-loop refinement
Partner with product engineering and clinical leadership to shape the broader AI Notes strategy and the companys agentic clinical intelligence features
Help define how AI outputs are structured into final clinical artifacts rather than raw chat responses
Contribute to prototype development and where capable assist with implementation in code
Work with structured data formats such as JSON prompt contracts ontology and tag systems and retrieval schemas
Support the development of clinical intelligence artifacts such as pre-visit notes encounter notes lab review notes treatment intelligence and follow-up intelligence
Help design guardrails that improve safety consistency explainability and provider trust
Tools & Systems
GPT and related AI tooling
JSON prompt contracts ontology/tag systems retrieval schemas
Requirements
Experience designing or working with AI workflows prompt engineering or structured AI systems
Familiarity with clinical documentation EHR workflows or healthcare knowledge systems
Comfortable working with structured data formats such as JSON and retrieval schemas
Ability to translate unstructured source material into governed structured knowledge assets
Strong collaboration skills across product engineering and clinical teams
Coding ability a plus for prototype development
Detail-oriented with a strong sense of what makes AI output safe explainable and trustworthy in a clinical setting
Non-Negotiables
Proven experience building structured AI workflows not just free-text prompting
Ability to work directly with JSON prompt contracts and retrieval schemas
Understanding of what it takes to make AI output clinically safe and trustworthy
Benefits
Competitive salary commensurate with experience.
Opportunities for professional development and growth.
Work in a dynamic and supportive team environment.
Make a meaningful impact by helping to build and strengthen families across the Globe
Required Skills:
Prompt Engineering GPT RAG (Retrieval-Augmented Generation) JSON Prompt Chains AI Workflow Design Clinical Documentation EHR Systems Ontology/Tag Systems Retrieval Schemas Structured Data AI Note Templates Healthcare AI Clinical NLP Python AI Guardrails LLM Implementation