AI Engineer Lead, Application Development
Tasks
- Coach engineers on LLMOps and production support
- Define reusable solution patterns
- Ensure code prompts data contracts tests and runbooks operable
- Establish production readiness gates
- Guide designs for data and model services
- Lead AI workflow automation architecture
- Set engineering standards for secure AI delivery
Perks/Benefits
- Career advancement
- Community volunteer opportunities
- Health benefits
- Social events
- Supportive team culture
- Training programs
Skills/Tech-stack
.NET | AI Document Intelligence | API Management | Automated testing | Azure | Azure AI | Azure AI Document Intelligence | Azure Monitor | Azure OpenAI | Azure OpenAI Service | Azure Service | Azure Service Bus | Blazor | CI/CD | Cost monitoring | Databricks | Delta Lake | Document Intelligence | Entra ID | Evaluation | FastAPI | FinOps | Git | Human-in-the-loop | Infrastructure as Code | Key Vault | Lakeflow | Language Models | Large Language Models | Log Analytics | MLflow | Microsoft Entra | Microsoft Entra ID | Model Governance | Model Serving | Observability | OpenAI Service | Prompt engineering | Prompt governance | Python | React | Retrieval-Augmented Generation | SQL | Service Bus | Terraform | The Loop | TypeScript | Unity Catalog | Vector Search | “as-code”
Education
Roles
AI | AI Engineering | AI Engineering Lead | Architect | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer | Software Architect
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