AI/Agentic AI Engineer for Cyber Security, Off

Who We Are Looking For

We are seeking a highly motivated and innovative AI / Agentic AI Engineer to design, develop, and operationalize next-generation AI-driven security solutions. The ideal candidate combines strong software engineering skills, practical experience with Generative AI and Agentic AI frameworks, and deep understanding of cybersecurity principles.

You are passionate about applying Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), autonomous workflows, and advanced analytics to solve complex security problems. You thrive in a fast-paced environment where security, automation, and AI innovation intersect.

The successful candidate will work closely with security architects, threat detection teams, cloud security engineers, data scientists, and platform teams to build intelligent security capabilities that improve threat detection, incident response, risk assessment, vulnerability management, and security operations efficiency.

What You Will Be Responsible For

- Design, develop, and deploy AI-powered cybersecurity solutions leveraging LLMs, Agentic AI frameworks, and machine learning.

- Build multi-agent systems capable of autonomous reasoning, task orchestration, and security workflow automation.

- Develop intelligent assistants for security architects and cloud security engineers.

- Implement Retrieval-Augmented Generation (RAG) architectures using enterprise security data and knowledge repositories.

- Integrate AI agents with enterprise security tooling

- Implement prompt engineering, agent planning strategies, memory management, and context optimization techniques.

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Implement secure-by-design principles for AI applications and agents

What We Value

- Strong problem-solving and analytical mindset.

- Passion for innovation and continuous learning.

- Ability to translate complex security challenges into scalable AI solutions.

- Ownership mentality with strong execution focus.