Solution Advancement Engineer, Analytics Products

📋 Description

• Lead end-to-end deployment, configuration, and maintenance of healthcare analytics applications
• Design and implement core capabilities for an AI-powered agent platform, including LLM agent loops
• Build and enhance interactive analytics applications using Python and R, particularly Shiny
• Maintain and improve Docker-based deployment infrastructure, manage version tagging and rollback
• Develop and maintain client data pipelines using cloud-based services including AWS Athena, S3, and
• Work directly with healthcare clients and clinical consultants to understand workflows, reporting

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or related discipline, or
• At least 6 years of software development experience with demonstrated ownership of a production
• Strong proficiency in Python for designing, building, testing, deploying, and maintaining
• Working proficiency in R and experience developing interactive analytics applications, particularly
• Practical experience developing LLM-powered or agent-based applications, including familiarity with
• Hands-on experience with Docker and containerized deployment, including scripting, version

🎁 Benefits

• Competitive base salary: estimated annual base salary ranging from $110,000 to $150,000 depending
• Performance-based compensation: eligibility for annual incentive program, with estimated total
• Healthcare coverage: medical, dental, and vision insurance plans subject to eligibility
• Wellness programs: access to employee wellness initiatives and support programs
• Remote work flexibility: position is remote within the United States, associated with Chicago
• Professional growth: opportunities to deepen expertise in healthcare analytics, AI engineering