AI Platform Engineer
Tasks
- Build AI development testing and production environments
- Build and maintain AI agents and MCP based solutions
- Deploy and manage AI applications on Microsoft Azure
- Deploy and operate AI models services and applications
- Design and develop AI powered applications tools and services
- Design and implement scalable backend services and integration components
- Develop APIs and backend services for AI capabilities
- Develop front end interfaces for AI applications
- Ensure security governance and infrastructure best practices
- Implement monitoring and logging for deployed solutions
- Integrate large language models into enterprise applications
- Manage cloud resources and optimize cost
- Monitor platform performance and optimize availability
- Support CI/CD pipelines and deployment automation
- Support application testing debugging and performance tuning
- Troubleshoot infrastructure deployment and integration issues
Perks/Benefits
- N/A
Skills/Tech-stack
Authentication | Azure | CI/CD | Database | Docker | Git | JavaScript | Kubernetes | Linux | Logging | Microservices | Monitoring | Python | REST API | TypeScript
Education
Roles
AI | AI Platform Engineer | Engineer | Platform Engineer | Software Engineer
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