Agentic AI Engineer II -cloud
Tasks
- Architect AI ML infrastructure across AWS Azure GCP
- Build Generative AI retrieval augmented generation solutions
- Define cloud infrastructure standards governance and security controls
- Design Kubernetes platforms and self service environments for AI workloads
- Design cloud native solutions using containers orchestration serverless GPU managed ML and distributed processing
- Implement MLOps and LLMOps pipelines for training deployment monitoring and evaluation
Perks/Benefits
- Certificate reimbursement
- Health benefits
- Medical insurance
- Professional development
- Shift allowance
- Work from another location
Skills/Tech-stack
API | AWS | Bash | Cloud platform | CrewAI | Docker | Evaluation Frameworks | GPU | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | LLMOps | Langchain | Language Model | Large Language Model | Llamaindex | MLOps | Microsoft Azure | Model Serving | Powershell | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Serverless | Vector Database
Education
N/A
Roles
AI | AI Engineer | Cloud AI Engineer | Cloud) | Engineer
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