Agentic AI Engineer III-cloud
Tasks
- Architect enterprise AI ML infrastructure across multi cloud
- Architect generative AI RAG vector database and LLM deployment solutions
- Build and manage MLOps and LLMOps pipelines
- Define cloud infrastructure standards governance security for AI ML
- Deploy production AI workloads using containers orchestration serverless and managed services
- Design Kubernetes platforms self service environments for AI workloads
Perks/Benefits
- Certificate reimbursement
- Health benefits
- Medical insurance
- Professional development
- Shift allowance
- Work from anywhere
Skills/Tech-stack
AWS | Bash | CI/CD | Cloud platform | CrewAI | Docker | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Microsoft Azure | OpenAI Compatible | OpenAI Compatible API | Powershell | Python | Retrieval-Augmented Generation | Security Governance | Semantic Kernel | Serverless | Vector Databases
Education
Roles
AI | AI Engineer | Cloud Engineer | Cloud) | Engineer
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