Artificial Intelligence Engineer

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.

Position: AI Engineer (Healthcare SaaS)

Location: Remote (must be inside the United States)
Reports to: Chief Technology and Product Officer

This is a high‑impact individual‑contributor 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.

• 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

• 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

• 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 regulatory, privacy, and compliance considerations (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 working with large structured datasets
• API design and backend services

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

• AI capabilities successfully integrated into the Medicat One 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

• 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

Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance.

The expected base salary for this position is: USD $90,000 – $120,000 excluding annual bonus and equity (when applicable). Salary is based on several factors including market conditions, location and may vary depending on job‑related skills and experience.