AI Engineer (Healthcare SaaS)- Medicat

Banyan Software provides the best permanent home for successful enterprise software companies, their employees, and customers. We are on a mission to acquire, build and grow great enterprise software businesses all over the world that have dominant positions in niche vertical markets. In recent years, Banyan was named the #1 fastest-growing private software company in the US on the Inc. 5000 and amongst the top 10 fastest-growing companies by the Deloitte Technology Fast 500. Founded in 2016 with a permanent capital base setup to preserve the legacy of founders, Banyan focuses on a buy and hold for life strategy for growing software companies that serve specialized vertical markets.

AI Engineer (Healthcare SaaS)

Location: Remote (must be inside the United States)

Reports to: Chief Technology and Product Officer

About Medicat (One of Banyan's Portfolio Companies)

Medicat is building modern software infrastructure for healthcare organizations through our platform, MedicatOne. Our mission is to simplify complex healthcare operations through intuitive software, strong data infrastructure, and intelligent automation.

As we expand our platform capabilities, we are investing in AI-driven features that improve how healthcare organizations interact with their data, workflows, and operational systems.

We are seeking an experienced AI Engineer to help design and implement AI-native capabilities within MedicatOne.

The Role

This is a high-impact individual contributor role.

This is a hands-on engineering role focused on building production-grade AI capabilities inside a growing healthcare SaaS platform.

You will work closely with product leadership and engineering to architect and deploy AI-powered systems that interact with structured healthcare data and operational workflows.

The role requires strong technical execution as well as fluency in data analytics and healthcare informatics concepts.

This is a build-and-ship role where you will play a key part in translating AI opportunities into real product functionality.

In this position, you will help to accelerate engineering performance and drive AI-enabled innovation across Medicat in our workflows and in our SaaS product.

What You’ll Do

AI System Development

• 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

Data & Informatics

• Work with large datasets related to healthcare operations
• Design systems that leverage structured data effectively
• Build logic that enables intelligent interpretation of operational data
• Collaborate with engineering on data pipelines, schemas, and analytics frameworks

Platform Integration

• 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

Execution & Iteration

• 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

What We’re Looking For

Experience

• 5+ years building production SaaS systems
• Direct experience 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, including familiarity with the regulatory, privacy, and compliance considerations that shape technical decisions (HIPAA, PHI handling, de-identification)
• Demonstrated ability to build and deploy systems end-to-end

Technical Skills

You should be comfortable with:

• Working knowledge of modern AI infrastructure and patterns, including:
• LLM API integration (OpenAI, Anthropic, or similar) in production environments
• Retrieval-Augmented Generation (RAG): designing retrieval pipelines, chunking strategies, and grounding LLM responses in real data
• Vector databases: embedding, indexing, and querying unstructured or semi-structured data
• Data modeling and SQL
• Data pipelines and analytics workflows and working with large structured datasets
• API design and backend services
• Working with large, structured datasets

Experience with healthcare informatics standards or healthcare data environments is strongly preferred.

What Success Looks Like

• AI capabilities successfully integrated into the MedicatOne platform
• Production-ready systems that interact effectively with operational data
• High-quality implementations that balance accuracy, performance, and usability
• Scalable architecture supporting future AI development

Why Join Medicat

• Work directly with company leadership on high-impact initiatives
• Build meaningful AI capabilities in a real healthcare envi