Middle AI Engineer (GenAI Deployment)
Tasks
- Configure Azure ML workspace
- Containerize and host FastAPI services
- Deploy GenAI agents to cloud
- Deploy prediction serving APIs
- Document deployment architecture and limitations
- Implement logging health checks and alerting
- Own model context protocol server architecture
- Productionize generative AI agents
- Provision cloud compute and troubleshoot capacity
- Set up CI CD for deployments
Perks/Benefits
- Gig contract
- Medical insurance
- Military Draft Deferment Support
- Paid sick days
- Paid vacation
- Public holidays off
- Unpaid vacation
Skills/Tech-stack
Alerting | Amazon EC2 | Amazon ECS | App Service | Azure | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure ML | CI/CD | Container Apps | Docker | FastAPI | GenAI | GitHub Actions | GitHub Enterprise | Health Checks | LLM | Logging | Model Context Protocol | Observability | Python
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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