Applied AI Engineer (Agentic AI & ML)
Tasks
- Build backend APIs and services
- Build observability for AI systems
- Codify reusable patterns and components
- Decompose ambiguous problems
- Deploy and operate applications and models
- Design and build agentic AI systems
- Discover and scope AI use cases
- Implement CI/CD pipelines
- Implement evaluation frameworks and guardrails
- Improve reliability performance cost and security
- Integrate AI into enterprise systems
- Maintain and improve ML DL models
- Orchestrate multi-agent workflows
- Retrain and tune models
- Route field learnings to platform tooling and roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AKS | API Integration | Agent Orchestration | Agent systems | App Service | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure OpenAI | Azure Storage | C# | CI/CD | Deep learning | Docker | Forecasting | Guardrails | Kubernetes | Language Models | Large Language Models | Logging | MCP | Machine Learning | Microsoft Azure | Model Context Protocol | Model Drift | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | Observability | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Time Series | Vector Databases
Education
N/A
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