Senior Software Engineer, AI Platform
Tasks
- Build AI incident detection and response
- Build agentic runtime infrastructure
- Build automated evaluation pipelines
- Create developer SDKs
- Define paved road patterns for common use cases
- Design scalable LLM gateway
- Develop MCP server tool ecosystems
- Develop RAG pipelines
- Establish AI observability
- Implement AI governance controls
- Implement cost optimization strategies
- Monitor production quality and model performance
- Operate embedding services
- Orchestrate multi-agent workflows
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Foundry | AI RMF | Access Management | Audit Logging | Azure AI | Azure AI Foundry | Azure OpenAI | C# | Caching | Content Filtering | Cost Tracking | Distributed tracing | Embeddings | Human-in-the-loop | ISO/IEC | ISO/IEC 42001 | LLM | LLM Evaluation | Langchain | Langgraph | MCP | NIST AI | NIST AI RMF | Prompt management | Python | RAG | Rate Limiting | Security controls | Semantic Caching | Semantic Kernel | State management | The Loop | Token Usage Monitoring | Token usage | Tool orchestration | TypeScript | Usage monitoring | Vector Search
Education
N/A
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