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Q-Centrix

Senior AI Engineer

Q-Centrix

Senior AI Engineer at Q-Centrix deploying AI-powered solutions for extracting data from medical charts. Collaborating with technical and clinical teams to improve healthcare data processing.

Posted 4/20/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • 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.
  • As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

Requirements

What you’ll need
  • 5+ years of experience in AI deployment or applied Machine Learning.
  • 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.

Benefits

Comp & perks
  • Robust benefits package including medical, vision, dental, health savings accounts, company paid short- and long-term disability, employee assistance program, paid parental leave, life insurance, accident insurance, and other voluntary benefit programs for employees and their eligible dependents.
  • 401(k) retirement plan with a company match.
  • Opportunities for professional development.

ATS Keywords

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Hard Skills & Tools
AI deploymentMachine LearningPythondata engineeringpipeline automationLLM-powered extractionmodel servingprompt executionresult validationerror handling
Soft Skills
cross-functional collaborationadaptabilityproblem-solvingcommunicationteamworkreliabilityinnovationresilienceleadershipinitiative
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in AIrelated field degreeequivalent work experience