AI Engineer III
Tasks
- Architect and maintain LLMOps toolchain
- Automate policy controls with policy as API
- Build drift detection alerts for model retraining
- Build reproducible training pipelines
- Configure CI CD pipelines for models and agents
- Configure blue green or canary deployments
- Design prompt version control and model registries
- Develop observability dashboards for model metrics
- Implement and manage Azure AI Foundry environment
- Implement prompt filtering and content moderation gateways
- Manage API gateway security and rate limiting
- Optimize GPU CPU orchestration for inference
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | AKS | API Management | APIM | Application Insights | Authentication | Azure AI | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure ML | Azure Monitor | Azure OpenAI | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Container Orchestration | Drift Detection | Infrastructure as Code | Kubernetes | MLflow | Model Registry | Observability | Private Endpoints | Prompt Flow | Prompt versioning | Python | Rate Limiting | Retrieval-Augmented Generation | Terraform | VNet | Vector Databases | “as-code”
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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