AI Engineer

About Medicat

Medicat is a leading healthcare SaaS platform provider, specializing in EHR solutions for college health centers. Our mission is to simplify complex healthcare operations through intuitive software, robust data infrastructure, and intelligent automation. We are dedicated to enhancing student health and counseling services, driving compliance, and improving accessibility. As we expand our platform capabilities, we are investing in AI-driven features to revolutionize how healthcare organizations interact with their data, workflows, and operational systems.

About the Role

Medicat is seeking an experienced AI Engineer to join our team and play a pivotal role in designing and implementing AI-native capabilities within our MedicatOne (M1) platform. This is a high-impact, individual contributor role focused on building production-grade AI functionalities for a growing healthcare SaaS platform. You will collaborate closely with product leadership and engineering to architect and deploy AI-powered systems that interact with structured healthcare data and operational workflows. This hands-on role requires strong technical execution, fluency in data analytics, and a solid understanding of healthcare informatics concepts. You will be instrumental in translating AI opportunities into tangible product features, accelerating engineering performance, and driving AI-enabled innovation across Medicat's workflows and SaaS product.

Responsibilities

• Design and implement AI-powered capabilities within the MedicatOne platform.
• Integrate modern AI models and services into production workflows.
• Develop systems that interact with structured application data and APIs.
• Ensure AI features are reliable, performant, and secure.
• Work with large datasets related to healthcare operations.
• Design systems that leverage structured data effectively.
• Build logic for intelligent interpretation of operational data.
• Collaborate with engineering on data pipelines, schemas, and analytics frameworks.
• Integrate AI capabilities into existing SaaS architecture.
• Work with backend engineers to ensure scalable system design.
• Optimize performance of data-intensive AI workflows.
• Contribute to platform-level architecture decisions.
• Ship production-ready AI features quickly and iteratively.
• Collaborate closely with leadership on prioritization and implementation.
• Help establish best practices for AI development within the organization.

Requirements

• A minimum of 5 years of experience in building production SaaS systems.
• Direct experience in building and implementing AI/ML or LLM-based features.
• Strong experience working with structured data and analytics systems.
• Experience working with healthcare data or healthcare SaaS environments is preferred, including familiarity with regulatory, privacy, and compliance considerations (HIPAA, PHI handling, de-identification).
• Demonstrated ability to build and deploy systems end-to-end.
• Comfort working with modern AI infrastructure and patterns, including LLM API integration (OpenAI, Anthropic, or similar) in production environments.
• Proficiency in Retrieval-Augmented Generation (RAG), including designing retrieval pipelines, chunking strategies, and grounding LLM responses.
• Experience with vector databases for embedding, indexing, and querying unstructured or semi-structured data.
• Solid understanding of data modeling and SQL.
• Experience with data pipelines, analytics workflows, and working with large structured datasets.
• Proficiency in API design and backend services.
• Experience with healthcare informatics standards or healthcare data environments is strongly preferred.

Perks

• Work directly with company leadership on high-impact initiatives.
• Build meaningful AI capabilities in a real healthcare environment.
• High ownership and autonomy in a growing SaaS company.
• Opportunity to shape the future of AI within the platform.

Additional Information

Medicat is an Equal Opportunity Employer committed to creating an inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other status protected by applicable law.