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cybersecurity python kubernetes langchain mcp📋 Description
- Research agentic threats and attack vectors (prompt injection, context poisoning)
- Architect scalable workflows securing agent-web interactions
- Develop detection and mitigation for malicious prompts and adversarial signals
- Implement security controls within agent runtimes
- Collaborate with engineers to productionize security mechanisms
- Proactively model AI threats as autonomy grows
- Build adversarial resilience in browser surrogate
🎯 Requirements
- BSc in CS or significant high-scale cloud eng exp; MSc/PhD a plus
- 3+ years in applied AI with production-grade AI systems (agentic exp a plus)
- Expert-level Python; strong Kubernetes and cloud-native orchestration
- Significant cybersecurity or browser-tech experience
- Deep understanding of prompt engineering for agentic systems
- Ability to explore ambiguous problems and iterate secure solutions
🎁 Benefits
- Collaborative, inclusive culture with growth opportunities
- Values-driven environment: Stay Aligned, Get It Done
- Open communication and initiative-taking
- Opportunity to shape security for autonomous AI agents
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