Applied AI Engineer (Agentic AI & ML)
Tasks
- Build evaluation frameworks and guardrails
- Build secure scalable backend APIs and services
- Codify reusable internal patterns
- Create CI/CD pipelines
- Decompose ambiguous problems into deliverable solutions
- Deploy and operate AI applications in production
- Design and build agentic AI systems
- Discover AI use cases with stakeholders
- Implement logging monitoring and observability
- Integrate AI into enterprise systems
- Orchestrate multi-agent workflows
- Own train evaluate and tune ML DL models
- Retrain and evaluate models with new data
- Route learnings back to platform tooling roadmap
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AKS | 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 | Kubernetes | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Node.js | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Vector Databases
Education
N/A
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