Jubil ID: 10

Company: Haart Industries

Location: Miami, FL

Description:
We’re super into the work we do and the community we’ve built and think you might be
too.Q-Centrix is the largest exclusive provider of clinical data management solutions to acute care hospitals. A market disruptor and innovator
Q-Centrix believes that there is nothing more valuable than clinical data as it is critical in delivering safe
consistent
quality healthcare for all. Bringing togeth

Qualifications:
1+ years of experience in LLM evaluation Strong software engineering foundation with proficiency in Python Familiarity with cloud platforms
data engineering and pipeline automation Bachelor’s degree in Computer Science
AI
a related field
or equivalent work experience Strong cross-functional collaboration skills Proven track record of thriving in a start-up environment Travel Requirements: None Work Authorization: Legally able to work in the United States without sponsorship

Benefits:
This includes an inclusive culture
a flexible work environment
learning and development opportunities
and robust benefits that support both health and financial wellness The target salary range for this role is $100
000.00 to $120
000.00 per year An individual’s salary within this range is based on multiple factors including but not limited to skills
experiences
licensure
certifications
and other business and organizational considerations In addition to our inclusive and innovative working environment and comprehensive compensation package
team members enjoy: Remote/hybrid flexibility

Responsibilities:
The resulting high quality structured clinical data is then utilized to support reporting demands
drive improved care delivery
meet financial and operational needs
enable population health workflows and power broad research use cases Its solutions cover a breadth of clinical segments
including cardiovascular
oncology
infection prevention
trauma and real-world data applications Q-Centrix’s platform enables its partners to access valuable clinical information that may otherwise be trapped across multiple workflow systems and clinical information platforms This role focuses on deploying AI-powered solutions to extract structured data from unstructured medical charts The AI Engineer will work with technical and clinical teams to bring AI models into real-world use
improving efficiency in healthcare data processing while ensuring accuracy
usability and responsible AI practices Develop
test
and deploy LLM-powered extraction pipelines for clinical text at scale Automate prompt execution
result validation
and error handling to enhance reliability Monitor and maintain production AI models
ensuring uptime
accuracy
and compliance Work with product
data
engineering
and clinical teams to integrate AI outputs into real-world solutions Evaluate and integrate third-party AI solutions when appropriate Stay current with advancements in LLM deployment
model serving
and responsible AI practices Work environment/Physical Demands: Continuous sitting and fine manipulation