AI Engineer - Cloud
Tasks
- Automate deployments and testing
- Build and maintain GenAI gateway on Azure
- Collaborate with stakeholders to refine and implement solutions
- Create CI-CD pipelines with Azure DevOps
- Design and implement scalable reliable secure production solutions
- Develop reusable GenAI building blocks
- Integrate OpenAI and non OpenAI LLM providers
- Manage LLM model lifecycle
- Operationalize and integrate AI into business processes and IT systems
Perks/Benefits
- Discount on products and services
- Flexible work hours
- Home office setup
- Hybrid work
- Pension contributions
- Personal development budget
- Travel reimbursement
Skills/Tech-stack
AI Search | AKS | ARM Templates | Application Insights | Application Security | Authentication | Authorization | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Monitor | Bicep | CI/CD | Code review | Docker | Event Driven | Event-driven architecture | Kubernetes | Message Queues | OAuth2 | Observability | OpenID Connect | Python | REST | Terraform | Testing | Vector Databases
Roles
AI | AI Engineer | Cloud Engineer | Cloud) | Engineer
Regions
Countries
States
Cities
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