Senior AI Security Engineer

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. Job Description 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. Key Responsibilities GenAI, Agentic AI & RL Security Architecture Design and secure LLM, RAG, multi-agent, and RL-driven systems Implement security controls for: Autonomous decision-making agents RL-based adaptive systems Tool-using and API-integrated agents Ensure safe exploration and bounded behavior in RL environments Agentic AI + Reinforcement Learning for Security Automation (Core Focus) Build agentic AI pipelines using: LangGraph → multi-step, stateful security workflows LangChain → LLM orchestration and tool integration LangSmith → observability, tracing, and evaluation Develop RL-enhanced security agents that: Learn from past approval decisions Optimize risk scoring and classification over time Continuously impr