Senior Applied AI Scientist

About the role

Senior applied AI role building production LLM, RAG, retrieval, and agent systems for cybersecurity; requires 4+ years of applied AI/ML/GenAI experience.

Requirements

• 4+ years in applied AI, ML, or GenAI
• MS in CS, AI, ML, or related field; PhD preferred
• Production-grade AI systems and cross-functional delivery
• Deep LLM, RAG, and GenAI expertise
• System design across data, models, and infrastructure
• Agent frameworks and tool-based AI systems

What you'll do

• Build scalable AI and GenAI systems
• Deploy LLM applications, RAG pipelines, and agents
• Develop retrieval and embedding systems
• Implement tool-using agent workflows
• Support model lifecycle from data and training through monitoring
• Translate business needs into production AI

Where this was posted

• LinkedIn

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