Software Engineer, Full Stack
Rad AI- Full Time
- Junior (1 to 2 years)
Candidates should have at least 3 years of experience in a product-focused full-stack software engineering role. A track record of building fast-growing SaaS products using PWA technologies is required, along with experience in shipping highly intuitive products and strong attention to detail. Candidates must possess strong programming skills, general Computer Science knowledge, and experience building backend platforms that can support multiple product lines. Experience at early-stage startups is a plus.
The Software Engineer will own and lead engineering projects across various product lines. They will work closely with AI, Legal, and GTM teams to build secure systems that deliver value to customers. Responsibilities include retrieval over peta-byte scale documents, creating organizational-level interfaces for collaboration with AI, managing dedicated GPU capacity across multiple regions, developing 1000-step planning agents, ensuring government-level security for sensitive matters, and evaluating LLMs across a large taxonomy of tasks.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.