Applied AI Platform Engineer, Application Development
Tasks
- Build AI platform components
- Deploy models and prompts
- Develop data pipelines and ingestion jobs
- Enforce production access controls and security
- Implement CI/CD pipelines
- Implement observability and monitoring
- Integrate AI concepts into production services
- Integrate AI services with enterprise platforms
- Perform incident triage and root cause analysis
- Refactor prototype components into modular services
- Support UAT and production releases
Perks/Benefits
- Career advancement
- Community events
- Comprehensive benefits
- Modern office environment
- Paid leave top up
- Social events throughout the year
- Supportive teamwork culture
- Training programs
Skills/Tech-stack
AI SDK | API Integration | Automated testing | Azure | Azure Key Vault | Azure Monitor | Azure OpenAI | Azure OpenAI Service | Azure Service | Azure Service Bus | Blazor | CI/CD | Databricks | Delta Lake | Entra ID | FastAPI | Git | Key Vault | Langchain | Langgraph | Log Analytics | MCP | MLflow | Model Serving | Mosaic AI | Mosaic AI SDK | Observability | OpenAI Service | PII handling | Python | RBAC | React | SQL | Service Bus | Terraform | Unity Catalog | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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