AI Integration Engineer
Tasks
- Build event driven stateful workflows
- Collaborate on agent security model and data exchange contracts
- Create API connections and connectors
- Create escalation paths and safe fallback mechanisms
- Create runbooks and operational documentation
- Define acceptance criteria and service level agreements
- Design workflow automation
- Develop integration services with enterprise systems
- Ensure audit logging and traceability
- Implement exception handling patterns
- Implement human review and approval workflows
- Implement tool interfaces for agent actions
- Implement workflow orchestration patterns
- Instrument workflows for operational monitoring
- Support production troubleshooting and incident response
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | API Management | Audit Logging | Authentication | Authorization | Azure API | Azure API Management | Azure Event | Azure Event Grid | Azure Functions | Azure Managed | Azure Managed Identities | Azure Service | Azure Service Bus | C Sharp | Dead-letter queues | Document processing | Event Driven | Event Grid | Event-driven architecture | GraphQL | Idempotency | Incident Response | Java | JavaScript | Logic Apps | Managed Identities | Message Queues | Monitoring | OAuth | Observability | Power Automate | Python | REST API | Retry logic | SLA | SLO | Security and Privacy | Service Bus | Service principals | State machines | TypeScript | Webhooks | Workflow Orchestration
Education
N/A
Roles
AI | AI Integration Engineer | Automation Engineer | Engineer | Integration Engineer
Regions
Countries
States
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