Software Engineer, Full Stack
Rad AI- Full Time
- Junior (1 to 2 years)
Candidates should have proficiency in full-stack development with a strong understanding of web frameworks, backend systems, and cloud infrastructure. A track record of working on full-stack AI projects, particularly those involving production use cases of large language models (LLMs), is required, along with experience building backend systems and infrastructure that can support AI-driven products.
The Software Engineer will ship full-stack AI projects end to end. They will build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning. The engineer will also develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp, as well as create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams.
Corporate card and spend management platform
Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.