AI Staff Engineer
Tasks
- Build MCP servers and tool integrations
- Build RAG pipelines
- Build agent orchestration and tool use frameworks
- Build containerized microservices for AI features
- Collaborate with security for compliance and auditability
- Create human in the loop oversight patterns
- Design agentic infrastructure
- Design prompt chains
- Develop AI product features for invoice processing
- Establish AI engineering standards
- Implement evaluation and monitoring for AI outputs
- Implement guardrails for autonomous workflows
- Integrate LLMs with domain data
- Lead technical direction with RFCs and ADRs
- Manage memory and context for agents
- Mentor engineers on AI integration patterns
- Optimize model fallback cost and latency
- Orchestrate multi-step agent workflows
- Partner with product on AI use cases and MVP scope
- Write API design and system design
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Design | Agent Orchestration | Angular | Anomaly Detection | App Service | Audit Logging | Azure | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure DevOps | Azure Functions | Azure Key Vault | Azure Storage | C# | CI/CD | Container Apps | Data Modeling | Distributed Systems | Docker | Evaluation Frameworks | Key Vault | Kubernetes | LLM integration | Language Processing | Microservices | Natural Language | Natural Language Processing | Production Monitoring | Prompt engineering | Python | RAG | REST API | SQL Server | Service Bus | System design | Tool-Calling | Trust and Safety | TypeScript
Education
N/A
Roles
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