AI Platform Engineer
Tasks
- Build deployment patterns for agentic applications
- Containerize and deploy AI services
- Deploy LLM services
- Design CI CD pipelines for ML training and release
- Enable retrieval memory and model routing patterns
- Ensure reliability, scalability, and cost optimization
- Implement model and agent observability
- Integrate AI services with product APIs
- Manage model registry and experiment tracking
- Orchestrate agentic workflows
- Productionize machine learning models
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program
- Health insurance
- Hybrid working
- Life insurance
- Online learning
- Paid time off for voting
- Retirement plan
- Unlimited vacation
- Volunteering paid time off
Skills/Tech-stack
AI Foundry | AI Search | AKS | Application Insights | Autogen | Azure AI | Azure AI Foundry | Azure AI Search | Azure Container | Azure Container Apps | Azure Functions | Azure Monitor | Azure OpenAI | CI/CD | Container Apps | CrewAI | Docker | Drift Detection | Experiment tracking | GitHub Actions | Human-in-the-loop | Kubernetes | LLM | LLMOps | Langchain | Langgraph | MLOps | MLflow | Machine Learning | Model Registry | Python | Retrieval-Augmented Generation | Terraform | The Loop | Token Usage Monitoring | Token usage | Tracing | Usage monitoring | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Platform Engineer | Engineer | LLMOps Engineer | MLOps Engineer | Platform Engineer
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