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python kubernetes prompt engineering langchain mcpπ Description
- Research emergent agentic threats: prompts, context poisoning, and adversarial content.
- Architect scalable agentic workflows securing agent-to-web interactions.
- Develop detection and mitigation for malicious prompts and adversarial behavior in LLM agents.
- Implement security controls in agent runtimes for safe reasoning over external data.
- Collaborate with engineering to deploy security mechanisms in production systems.
- Proactive threat modeling to anticipate AI risks as autonomy grows.
π― Requirements
- BSc in CS or significant high-scale cloud engineering exp; MSc/PhD a plus.
- 3+ years applied AI with production deployments; agentic exp is a plus.
- Expert Python; deep Kubernetes and cloud-native orchestration; data modeling.
- Cybersecurity or browser tech exp highly preferred.
- Deep understanding of prompt engineering techniques.
- Ability to explore ambiguous problem spaces and iterate.
π Benefits
- Collaborative culture with a growth mindset.
- Open communication and feedback culture.
- Five core values guiding work: Stay Aligned, Get It Done, Customer Empathy, Think Creatively, Help Each Other Out.
- Opportunity to influence security for autonomous AI at scale.
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