Applied AI Engineer (Agentic AI & ML)
Tasks
- Build RAG solutions
- Build observability logging and monitoring
- Create secure backend APIs and services
- Decompose ambiguous problems into deliverable solutions
- Deploy AI applications and models to production
- Design and build agentic AI systems with LLMs
- Develop multi agent workflows and orchestration
- Discover AI use cases with stakeholders
- Ensure reliability performance cost and security
- Implement CI CD pipelines and follow DevOps best practices
- Implement evaluation frameworks and guardrails
- Implement prompt engineering
- Own ML DL model training evaluation and tuning
- Retrain and improve models with evolving data
- Turn bespoke builds into reusable components
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | Agent Orchestration | Agent systems | App Service | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure OpenAI | Azure Storage | C# | CI/CD | Data Retraining | Deep learning | Docker | Guardrails | Kubernetes | LLM orchestration | LLM orchestration frameworks | Language Models | Large Language Models | Logging | Machine Learning | Microsoft Azure | Model Context Protocol | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | Observability | Orchestration frameworks | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Series forecasting | Time Series | Time Series Forecasting | Vector Databases
Education
N/A
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