Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes, integrating LLM or AI services for autonomous processes
Job Summary
Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes, integrating LLM or AI services for autonomous processes.
Partner with solution architects to convert technical designs into scalable, maintainable implementations, establishing structured data contracts and ensuring production-readiness.
Leverage Microsoft Azure services to design modular, version-controlled, and CI/CD enabled solutions for continuous improvement within a dynamic healthcare SaaS environment.
Matching Summary
Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes, integrating LLM or AI services for autonomous processes.
Skills & Requirements
Must-have
SQL, C#, Python, or JavaScript
Relational database design and query optimization
Microsoft Azure ecosystem
CI/CD pipelines and Git workflows
AI or LLM service integration
Nice-to-have
Healthcare SaaS environments
HL7, FHIR, or healthcare data standards
Retrieval-based workflows or vector databases
AI Agent Orchestration
Key Requirements
2–5+ years of production experience
Experience integrating AI or LLM services
Experience building and deploying applications in Microsoft Azure
Ability to build scalable, repeatable solutions
Strong problem-solving skills in ambiguous environments