AI Engineer; Healthcare SaaS- Medicat

Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. We are on a mission to acquire, build, and grow great companies worldwide, helping them modernize through shared AI expertise and operational discipline. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world.

Banyan is Great Place to Work Certified, a five-time Inc. 5000 honoree, and a top 10 company on the Deloitte Technology Fast 500. Founded in 2016 and headquartered in Atlanta, Banyan operates more than 100 portfolio companies across North America, the UK, EU, and APAC.

Location:

Remote (must be inside the United States)

Reports to:

Chief Technology and Product Officer

Medicat is building modern software infrastructure for healthcare organizations through our platform, Medicat One. 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 Medicat One.

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.

• Design and implement AI‑powered capabilities within the Medicat One 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 that enables intelligent interpretation of operational data
• Collaborate with engineering on data pipelines, schemas, and analytics frameworks

• 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

• 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

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…