Applied AI Engineer (Agentic AI & ML)
Tasks
- Build CI/CD pipelines
- Build production agent orchestration workflows
- Create reusable internal AI components
- Deploy and operate models in production
- Design agentic AI systems with LLMs
- Develop backend APIs for AI workloads
- Identify AI use cases and scope solutions
- Implement evaluation frameworks and guardrails
- Implement tool and function calling
- Integrate AI solutions with enterprise systems
- Set up observability reliability performance cost and security monitoring
- Train evaluate retrain and tune ML DL models
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | Agent Orchestration | Agent systems | App Service | Authentication | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure OpenAI | Azure Storage | C# | CI/CD | Cloud platform | Deep learning | Docker | Function Calling | Google Cloud | Google Cloud Platform | Guardrails | LLM orchestration | LLM orchestration frameworks | Language Models | Large Language Models | Logging | Machine Learning | Microsoft Azure | Model Context Protocol | Model Drift | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | Observability | Orchestration frameworks | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Tool-Calling | Vector Databases
Education
N/A
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