Senior AI Systems Engineer
Tasks
- Build security chatbots for SOC use cases
- Collaborate across Data Science Engineering Product and Platform teams
- Create evaluation test sets define success metrics run regression tests
- Debug hallucinations improve retrieval prompting and guardrails
- Define patterns for context engineering tool design retrieval and harness engineering
- Design secure applied LLM workflows for alert triage summarization and automation
- Develop agent architectures for quality and safety evaluations
- Implement security first AI data privacy access control prompt injection defenses
- Lead production multi agent systems design and execution
Perks/Benefits
- Give back Volunteering Opportunities
- Great company culture
- MacBook Pro
- Stock options
- Training and professional development
Skills/Tech-stack
.NET | AWS Bedrock | Access Control | Claude AgentSDK | Context engineering | Data Privacy | Evaluation | Guardrails | Harness Engineering | Incident Response | Injection Defense | LLM | LLM SDK | MCP | Model Context Protocol | Prompt injection | Prompt injection defense | Prompting | Python | RAG | Regression testing | Retrieval | SOAR | SOC automation | Security | Tool integration | TypeScript
Education
N/A
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