Applied AI Engineer, Enterprise
Tasks
- Architect and deploy MCP server data access layer
- Build RAG pipelines for knowledge retrieval
- Build agentic AI systems for multi step business processes
- Build and maintain Claude skills and plugins
- Create documentation and run knowledge transfer sessions
- Define instrument and track success metrics
- Design build and ship production AI solutions
- Develop LLM orchestration with tool function calling
- Develop role based access control and audit logging
- Implement HIPAA compliant data handling and governance
- Integrate with enterprise systems using REST APIs
- Use Workato or iPaas for automation and integration
- Write production grade code with observability and evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Audit Logging | Data Governance | Data Modeling | HIPAA | JavaScript | LLM orchestration | Model Context Protocol | OAuth2 | Observability | Python | RAG | REST APIs | Role-Based Access | Role-Based Access Control | SQL | Secrets management | Tool-Calling | TypeScript | Webhooks | Workato
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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