AI Engineer (Healthcare SaaS)- Medicat
Tasks
- Build logic for interpreting operational data
- Build systems interacting with structured data and APIs
- Collaborate on data pipelines schemas and analytics frameworks
- Design AI-powered capabilities
- Design systems leveraging structured data
- Ensure AI features reliability performance and security
- Establish AI development best practices
- Integrate AI capabilities into SaaS architecture
- Integrate AI models into production workflows
- Optimize performance of data intensive AI workflows
- Ship production ready AI features iteratively
- Work with large healthcare datasets
Perks/Benefits
Skills/Tech-stack
APIs | Backend Services | Data Modeling | Data Pipelines | Deidentification | Embeddings | HIPAA | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | PHI Deidentification | Retrieval-Augmented Generation | SQL | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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