Applied AI Engineer (Agentic AI & ML)
A SGD 74K-130K (estimate) Senior-level Full Time
Tasks
- Build evaluation frameworks and guardrails
- Build secure scalable backend APIs for AI workloads
- Create observability reliability and performance metrics
- Decompose ambiguous problems into deliverable plans
- Deploy and operate AI applications on cloud
- Design and build agentic AI systems with LLMs
- Identify AI use cases and scope solutions
- Implement CI/CD pipelines
- Implement authentication logging and monitoring
- Maintain and improve production ML and DL models
- Orchestrate multi-agent workflows
- Retrain evaluate and tune models
- Route field learnings into platform tooling and roadmap
- Turn bespoke builds into reusable internal components
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Design | Agent Orchestration | App Service | Azure App | Azure App Service | Azure DevOps | Azure Functions | Azure OpenAI | Azure Storage | C# | CI/CD | Deep learning | Docker | Drift monitoring | Function Calling | Guardrails | LLM Evaluation | Language Models | Large Language Models | MCP | Machine Learning | Microsoft Azure | Model Drift | Model drift monitoring | NodeJs | Observability | Prompt engineering | Python | REST API | REST API design | Retrieval-Augmented Generation | Tool/function calling | Vector Databases
Education
N/A
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