AI Engineer - Cloud
Tasks
- Automate deployments and testing
- Build and maintain central LLM Gateway on Azure
- Collaborate with stakeholders to refine and implement solutions
- Define priorities and influence GenAI Lab roadmap
- Design and implement scalable reliable secure production ready solutions
- Develop reusable building blocks for GenAI use cases
- Implement CI/CD pipelines using Azure DevOps
- Integrate AI capabilities into business processes and IT systems
- Integrate OpenAI and non OpenAI models
- Manage lifecycle of deployed LLM models
Perks/Benefits
- Discount on company products and services
- Flexible leave days
- Flexible work schedule
- Home office setup
- Lease bike option
- Pension contributions
- Personal development budget
- Travel reimbursement
- Work from home
Skills/Tech-stack
AI Search | AKS | API Keys | Anthropic | Application Insights | Application observability | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Monitor | CI/CD | Docker | Kubernetes | Llama | Mistral | OAuth2 | OpenAI | Python | REST | Terraform | Vector Database
Education
Roles
AI | AI Engineer | Cloud Engineer | Cloud) | Engineer
Regions
Countries
States
Cities
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