AI Engineer

A fast-growing cybersecurity startup developing a revolutionary Cloud Native Application Protection Platform (CNAPP). T

A high-growth cybersecurity company backed by hundreds of millions of dollars from world-leading tier-1 VCs.

The company is developing a next-generation Cloud Native Application Protection Platform (CNAPP) that leverages autonomous AI to detect and mitigate cloud threats in real-time.

Founded by industry veterans from elite intelligence units, the company focuses on "Runtime Security," moving beyond passive alerts to active, intelligent response.

The Role

• Work closely with the AI Architect to build LLM-based Agents capable of understanding cyber events, inferring context, and making autonomous response decisions.
• Design and implement complex RAG (Retrieval-Augmented Generation) pipelines to connect models with real-time logs and events.
• Advanced Prompt Engineering and system design to transform models into decision-making engines.
• Develop robust, scalable services within a high-performance Production Cloud environment.

Requirements-

• 5+ years of experience in Backend development (language agnostic).
• At least 2 years of focused experience in GenAI, specifically:
• Extensive work with LLMs, RAG, and Prompt Engineering.
• Proven experience with Agent frameworks (e.g., LangChain, LangGraph, Bedrock).
• Proven experience working in Production and Cloud environments.
• Strong architectural understanding of how to connect AI models to real-world data (logs, events).