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python kubernetes prompt engineering langchain llmπ Description
- Research emerging agentic threats (prompt injection, context poisoning)
- Architect scalable agentic workflows for secure web interactions
- Develop detection and mitigation for malicious prompts and adversarial AI behavior
- Implement security controls within agent runtimes for safe reasoning
- Collaborate with engineering to deploy security in production
- Proactively model AI threats as autonomy grows
π― Requirements
- BSc in Computer Science or significant experience; MSc/PhD strong advantage
- 3+ years in applied AI with production deployments; agentic experience a plus
- Expert-level Python; Kubernetes and cloud-native orchestration; data modeling; version control
- Significant experience in cybersecurity or browser-related technologies
- Deep understanding of prompt engineering techniques in agentic systems
- Ability to explore ambiguous problems and iterate toward secure solutions
π Benefits
- Collaborative culture with open communication
- Opportunity to own initiatives and deliver impact
- Growth opportunities in AI security
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