Description

You will develop Generative AI components for cybersecurity applications.

This role is hybrid.

Responsibilities

• Design and implement Retrieval-Augmented Generation (RAG) and multi-agent reasoning workflows.
• Build secure interfaces connecting LLMs to backend services for threat modeling and risk triage.
• Implement vector search, embeddings pipelines, and semantic indexing for cybersecurity datasets.
• Operationalize cyber risk rubrics into model prompts, decision trees, and structured outputs.
• Develop ingestion pipelines to prepare diverse cybersecurity artifacts like logs and threat intelligence.

Required Skills

• 5+ years of professional software development experience.
• Expertise in Generative AI (GenAI) and Large Language Models (LLMs).
• Hands-on experience with RAG architecture and implementation.
• Ability to encode domain-specific threat knowledge into AI systems.
• Proficiency with vector search and semantic indexing techniques.
• Experience building AI-driven reasoning agents.

Key Skills

Education

Any Graduate