Fullstack Engineer, Generative AI (Backend Focus)

Job not on LinkedIn

August 9

Apply Now

Receive Emails with Similar Jobs

CrackenAGI

WebsiteLinkedInAll Job Openings

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.

11 - 50 employees

Founded 2023

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Cracken is a fast-growing Silicon Valley-based startup built by elite nation-state and commercial operators who defended critical cyber infrastructure during the war in Ukraine, researched AI and cybersecurity at MIT and Kyiv Polytechnic, and led teams at Apple, Google, Palo Alto Networks, HackerOne, DIU, Comcast, HP, and more. • 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. • Product Software Engineering: Hands-on engineering and testing of the product in various capacities, focusing on AI Agent features. • Agents Framework Engineering: Hands-on engineering and testing of the internal agent’s framework (similar to LangChain / Haystack and others). • Research & Development: Stay updated with the latest in AI and AI Agents. Provide relevant insights to the team and integrate innovations.

🎯 Requirements

• Ideally 5+ years of experience in Python (we can consider less experienced engineers, who learn very quickly and are ready to work in the startup environment) • Experience with Generative AI • 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 • Cybersecurity product background: worked on security-focused software or platforms.