Fullstack Engineer, Generative AI, Frontend Focus

Job not on LinkedIn

August 9

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CrackenAGI

Cybersecurity • Artificial Intelligence • SaaS

CrackenAGI is an innovative company focused on enhancing cybersecurity through the use of AI-powered copilot agents. These agents are designed to scale cyber research efforts, offer customizable autonomy for independent or collaborative tasks, and provide detailed tracking and observation of operations. By enabling users to guide the agents with feedback, CrackenAGI aims to continuously refine their performance, ensuring effective and reliable cybersecurity solutions.

📋 Description

• Cracken is a fast-growing Silicon Valley-based startup built by elite nation-state and commercial operators. • We tame Cracken, an AI Agent for Cybersecurity with human-in-the-loop. • Our flagship product is an agentic AI copilot drastically scaling cyber assessments for enterprises and governments. • We are growing and seeking an extremely talented software engineer to help us pioneer the future of cybersecurity. • Hands-on engineering and testing of the product in various capacities. • Develop and maintain advanced frontend components with exceptional delivery standards. • Implement scalable and secure frontend solutions for both SaaS and on-premise platforms. • Continuously learn and adapt to new technologies and fields. • Foundational understanding of AI/ML tools and frameworks, with the ability to integrate AI-powered features into front-end applications. • Stay updated with the latest in AI and AI Agents.

🎯 Requirements

• 4+ years of experience building user-facing products and design systems. • 5+ years of experience in Python (ideally, but we can consider less experienced engineers, who learn very quickly and are ready to work in the startup environment). • Strong proficiency in ReactJS, JavaScript, CSS, HTML. • Experience translating product ideas and design concepts into high-quality code. • Deep understanding of design patterns, usability, accessibility, and responsiveness. • Ability to own UI/UX from concept to implementation. • Experience with Generative AI Agents will be a huge plus, specifically: • — implementation of Generative AI Agents using Langchain / Haystack and others • — implementation of RAG using LlamaIndex and other Advanced RAG frameworks • — evaluation of AI Agent Performance • — integration of AI Agents into Existing Systems

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