AI Integration Engineer
Tasks
- Apply least privilege principles for tools and service accounts
- Build secure MCP capabilities for enterprise functions
- Design develop test maintain Model Context Protocol MCP servers
- Develop Python connectors and services to call enterprise APIs and databases
- Develop and maintain REST SOAP APIs backend services adapters integration logic
- Develop mocks simulated services test harnesses and automated integration tests
- Develop reusable MCP tools resources prompts schemas interfaces
- Establish reusable development patterns coding standards and security practices
- Expose PeopleSoft HCM and CRM functionality via Integration Broker and web services
- Implement authentication and authorization for MCP servers
- Implement exception handling retries timeouts logging and monitoring
- Implement input output validation and schema enforcement
- Implement secure read only and transactional integration patterns
- Integrate MCP services with Oracle databases and enterprise applications
- Maintain MCP interface documentation and deployment procedures
- Troubleshoot MCP servers Python code APIs and downstream services
Perks/Benefits
- N/A
Skills/Tech-stack
Authentication | Authentication tokens | Authorization | Automated testing | CI/CD | Certificates | Docker | Docker Compose | Exception Handling | Git | HTTP | Input validation | Integration Testing | JSON | JSON Schema | Kubernetes | Least Privilege | Logging | Model Context Protocol | Monitoring | OAUTH/OIDC | OAuth | OAuth 2.0 | OAuth2 | OpenAPI | OpenID Connect | Oracle Database | Oracle PL | Oracle PL/SQL | Output Validation | PL/SQL | Python | REST APIs | Retry logic | SOAP | SQL | Schema Enforcement | Secrets management | Service communication | Service to Service | Service-to-service communication | Swagger | Timeouts | Token based | Token-based authentication
Roles
AI | AI Integration Engineer | Engineer | Integration Engineer | Software Engineer
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