AI Engineer/Developer
Tasks
- Apply governance and auditability controls
- Build AI monitoring dashboards and alerting
- Build multi-agent orchestration
- Design and develop agent ecosystem
- Design resilient execution with retries and error handling
- Enable scalable deployment and lifecycle management
- Establish logging tracing metrics and drift detection
- Implement evaluation pipelines for performance and safety
- Implement tool calling and routing
- Integrate Azure AI services
- Manage agent lifecycle and registries
- Translate business vision into architecture and delivery plans
Perks/Benefits
Skills/Tech-stack
AI Governance | AI Services | Agent Orchestration | Application development | Azure AI | Azure AI Services | Azure Cloud | Drift Detection | Error Handling | Evaluation Frameworks | LLM Application Development | LLM application | Language Models | Large Language Models | Logging | Memory Management | Metrics | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | Retry logic | Routing | State management | Tool-Calling | Tracing
Education
N/A
Roles
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