Senior AI Security Engineer
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About the job
As a Senior AI Security Engineer (GenAI, Agentic AI & Reinforcement Learning), you will lead the design and implementation of secure, scalable, and adaptive AI systems, including LLM-based applications, agentic workflows, and RL-driven decision engines. This role goes beyond traditional security—you will build intelligent, self-improving security review systems using agentic frameworks (LangGraph, LangChain, LangSmith) and reinforcement learning techniques to continuously enhance AI risk evaluation, policy enforcement, and approval workflows. You will collaborate closely with AI/ML engineers, platform teams, and governance stakeholders to embed autonomous, learning-based security mechanisms into enterprise AI ecosystems.
Requirements
- GenAI
- Agentic AI
- Reinforcement Learning
- Security Automation
- Risk Assessment
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field
- 3–5+ years of experience in cybersecurity
Preferred Technologies
- GenAI
- Agentic AI
- Reinforcement Learning
- Security Automation
- Risk Assessment
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About the company
We partner with enterprises to advise, build, secure, and operationalize AI systems at scale. Our focus is on developing Generative AI (GenAI), Agentic AI, and Reinforcement Learning-driven systems, while embedding security, governance, and risk controls directly into AI workflows. We enable organizations to safely deploy LLMs, autonomous agents, and adaptive decisioning systems in regulated, mission-critical environments.
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