Applied AI Engineer (Agentic AI & ML)
Tasks
- Build CI/CD pipelines
- Build multi agent workflows and agent orchestration
- Create reusable internal patterns and components
- Decompose ambiguous problems into solutions
- Deploy and operate AI applications and models in production
- Design build and deploy agentic AI systems using LLMs
- Develop secure scalable backend APIs and services
- Identify high-value AI use cases
- Implement evaluation frameworks and guardrails
- Implement prompt engineering and RAG pipelines
- Integrate AI systems into enterprise systems
- Maintain and improve production machine learning models
- Retrain evaluate and tune models
- Set up observability reliability performance cost and security monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AKS | API Design | 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 | Flutter | Forecasting | Function Calling | GCP | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Context Protocol | Multi-Agent | Multi-Agent Systems | NodeJs | Predictive Maintenance | Prompt engineering | Python | RAG | REST API | REST API design | React | Retrieval-Augmented Generation | Series modeling | Time Series | Time Series Modeling | Tool-Calling | Vector Databases
Education
N/A
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