Junior AI Engineer

Summary

Join Q-Centrix as an AI Engineer and deploy AI-powered solutions to extract structured data from unstructured medical charts. You will collaborate with technical and clinical teams to integrate AI models into real-world applications, enhancing healthcare data processing efficiency and ensuring accuracy. This role requires developing and deploying LLM-powered extraction pipelines, automating processes, monitoring AI models, and collaborating with cross-functional teams. You will need experience in LLM evaluation, strong software engineering skills, and familiarity with cloud platforms. Q-Centrix offers a competitive salary, remote/hybrid flexibility, a generous time off program, robust benefits, a 401(k) plan, and professional development opportunities.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 2+ years of experience in AI deployment or applied Machine Learning
• Advanced degree in Computer Science or related field
• Experience integrating AI with healthcare data (EHRs, clinical databases)
• Experience working in regulated industries with an understanding of security, compliance, and responsible AI

Benefits

• Remote/hybrid flexibility (depending on location) and a generous time off program with additional paid time for volunteering
• 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