AI Platform Engineer
Tasks
- Build retrieval-augmented generation pipelines
- Deploy on CPU and GPU environments
- Enforce IAM and security controls
- Enhance AI platform capabilities
- Implement CI/CD pipelines
- Implement enterprise AI platform
- Integrate API gateway for AI services
- Integrate Active Directory
- Integrate networking and storage services
- Manage Kubernetes/OpenShift clusters
- Manage logging and observability
- Monitor platform health and performance
- Orchestrate AI agents
- Provision infrastructure with Infrastructure-as-Code
- Serve AI models
- Support AI ML workloads with LLMs
- Support capacity planning
Perks/Benefits
Skills/Tech-stack
AI Agent | AI agent orchestration | API Gateway | Access Management | Active Directory | Agent Orchestration | Ansible | Backup | CI/CD | Detection and Response | DevOps | Endpoint Detection and Response | Endpoint detection | GPU | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Load balancers | Logging | MLOps | Model Serving | Monitoring | Networking | Next-Generation Firewall | Observability | Red Hat | Red Hat OpenShift | Retrieval-Augmented Generation | SIEM | Security | Terraform | “as-code”
Education
N/A
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