Applied AI Engineer (Agentic AI & ML)
A SGD 100K-165K (estimate) Senior-level Full Time
Tasks
- Build evaluation frameworks and guardrails
- Build secure scalable backend APIs and services
- Codify reusable internal components
- Decompose ambiguous problems into deliverable solutions
- Deploy and manage applications on cloud platforms
- Deploy models to production
- Design agentic AI systems with LLMs
- Discover and scope AI use cases
- Implement CI/CD pipelines
- Implement RAG using vector search
- Implement observability and monitoring
- Implement prompt engineering
- Improve reliability performance cost and security
- Integrate agent tools and functions
- Operate and monitor AI applications
- Orchestrate multi-agent workflows
- Retrain and tune models
- Route field learnings to platform tooling and roadmap
- Train and evaluate machine learning models
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 | Deep learning | Docker | Function Calling | Kubernetes | Language Models | Large Language Models | Machine Learning | Microsoft Azure | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Node.js | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | Tool-Calling | Vector Databases
Education
N/A
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