AI Engineer - Cloud
Tasks
- Collaborate with stakeholders to design production ready solutions
- Design and implement CI/CD pipelines on Azure DevOps
- Develop and maintain LLM Gateway on Azure
- Manage full lifecycle of deployed LLMs
- Operationalize and integrate AI capabilities into business processes and IT systems
- Prioritize and contribute to GenAI Lab roadmap
Perks/Benefits
- Employee discounts
- Flexible time off
- Home office setup budget
- Mobile phone and laptop
- Pension plan
- Thirteenth month
- Training budget
- Travel reimbursement
- Work-life balance
Skills/Tech-stack
AI Search | API Keys | API Management | ARM Templates | Active Directory | Anthropic Claude | Application Insights | Application Security | Azure AI | Azure AI Search | Azure Active Directory | Azure DevOps | Azure Monitor | Azure OpenAI | Bicep | CI/CD | Docker | Event Driven | Event-driven architecture | Infrastructure as Code | Kubernetes | Llama | Message Queues | Microsoft Azure | Mistral | OAuth | OAuth2 | Observability | OpenAI | Python | REST | Streaming API | Terraform | Vector Databases | WebSockets | “as-code”
Education
Roles
AI | AI Engineer | AI Platform Engineer | Engineer | Platform Engineer
Regions
Countries
States
Cities
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