Principal AI Software Engineer
Tasks
- Architect agentic security agents
- Build knowledge context and memory layers for agents
- Build streaming pipelines
- Configure human in the loop controls
- Create scalable API designs
- Define safe accurate LLM data interactions
- Design MCP skill interfaces
- Design investigate triage remediate and harden agents
- Design risk scoring and remediation planning
- Develop distributed cloud systems
- Develop graph database solutions
- Evaluate and integrate foundation models for security tasks
- Implement agent planning tool use memory context retrieval
- Integrate LLMs with structured security data
- Lead architecture reviews and engineering excellence
- Mentor senior engineers
- Orchestrate Microsoft Security Graph exposure correlation
- Perform blast radius analysis
- Set technical direction across teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Access Management | Autogen | Azure OpenAI | C# | Data Modeling | Distributed Systems | Go | Graph Database | Identity and Access Management | Identity and access | Java | Knowledge graph | LLM | Langchain | MCP | Microsoft Security | Microsoft Security Graph | Model Context Protocol | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Rust | Security Data Modeling | Security analytics | Security data | Security graph | Semantic Kernel | Streaming Pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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