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docker terraform python kubernetes gcp📋 Description
- Champion Secure Agentic AI Development within the Agentic AI team.
- Lead Agentic Threat Modeling: analyze autonomous agent risks.
- Design Secure Agent Architecture with deterministic safety guardrails.
- Secure Agent Tools & Memory: prevent misuse of APIs and memory.
- MLSecOps for RL Pipelines: secure training and simulation workflows.
- Adversarial Testing & Red Teaming: guard against behavioral manipulation.
🎯 Requirements
- Agentic AI & RL Security: RL, autonomous agents, or automated decision systems.
- AI Partnership: Collaborate with AI researchers and developers.
- Core Experience: 5+ years in product security or app security.
- Safety Engineering Mindset: Availability and safety trump confidentiality.
- Technical Depth: Python (essential) or Go; LangChain/AutoGPT or RL libs.
- Advanced MLOps: Securing Kubeflow/MLflow and data/model pipelines.
🎁 Benefits
- 100% remote company with global team.
- Competitive compensation and equity.
- Flexible stipends for workspace, wellbeing, and development.
- Company MacBook provided.
- Medical, dental, and vision insurance (region varies).
- Unlimited PTO with a minimum of 20 days/year.
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