Full Stack Software Engineer

<h3>Job Description</h3><div><p><strong>Company</strong></p>\n<p><strong>Cassidy</strong> is a no-code platform that allows businesses to build custom AI assistants that automate complex multi-step workflows. By connecting to a company’s knowledge (docs, wikis, calls, etc.) and leveraging major AI models, Cassidy aims to be the “AI colleague” for every team—helping them work <strong>100x faster</strong> without heavy engineering overhead.</p>\n<p><br /></p>\n<p><strong>About the role</strong></p>\n<p>We are seeking a highly autonomous engineer excited about owning the design and implementation of core features and infrastructure. Given the size of the team, you will be touching all parts of the stack.</p>\n<p><br /></p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n <li><strong>Build Intuitive Interfaces</strong>: Develop features across Node, React, and Postgres (TypeScript) so non-technical users can design AI automations with ease.</li>\n <li><strong>Explore Advanced AI</strong>: Contribute to projects involving LLMs, Retrieval Augmented Generation (RAG), and AI agents—<strong>from <span>research/prototyping</span></strong> to <strong>full production releases</strong>.</li>\n <li><strong>Shape Core Architecture</strong>: Help refine our stack to handle growing data/usage needs, ensuring reliability and scalability.</li>\n <li><strong>Iterate with Product &amp; Design</strong>: Work in a tight loop—prototype, gather feedback, and deliver high-impact features efficiently.</li>\n</ul>\n<p><br /></p>\n<p><strong>Qualifications</strong></p>\n<ul>\n <li><strong>0-2 years</strong> of professional software development experience (at least 1 year with full-stack responsibilities).</li>\n <li><strong>BA/BS</strong> in Computer Science or related field (or equivalent practical experience).</li>\n <li>Comfortable <strong>working on-site in NYC</strong> (4–5 days/week) to foster a close-knit, collaborative environment.</li>\n <li><strong>Proactive, self-motivated</strong> problem solver with strong communication skills.</li>\n <li>Experience in a typed environment (preferably TypeScript) across Node.js, React, Postgres, etc.</li>\n</ul>\n<p><br /></p>\n<p><strong>Nice to haves</strong></p>\n<ul>\n <li><strong>Large-Scale Systems Knowledge</strong>: Exposure to distributed systems, queues, caching, or ETLs.</li>\n <li><strong>Information Retrieval / Recommendation Systems</strong>: Experience building or contributing to search/ranking components.</li>\n <li><strong>Applied AI</strong>: Familiarity with evaluating AI models or integrating multi-LLM workflows at a basic level.</li>\n <li><strong>Startup or Small Team Experience</strong>: Comfortable wearing multiple hats and driving projects with minimal oversight.</li>\n</ul>\n<p><br /></p>\n<p><strong>Why Join Us</strong></p>\n<ul>\n <li><strong>Impactful Work</strong>: Tackle next-gen AI-driven automation that changes how teams handle text-rich processes.</li>\n <li><strong>Growth Culture</strong>: Expect autonomy, open collaboration, and a strong focus on shipping quickly.</li>\n <li><strong>Competitive Compensation + Equity</strong>: We believe in rewarding high-performance individuals who drive our success.</li>\n</ul>\n<p><br /></p></div>