AI Engineer
BiorenderFull Time
Mid-level (3 to 4 years)
Candidates should have 2+ years of software engineering experience, including building production-grade full-stack systems. Demonstrated experience building AI-powered product features is required, along with fluency in modern LLM platforms and AI-assisted engineering tools like Cursor or Claude Code. A working knowledge of prompt engineering, retrieval, and orchestration, as well as strong backend fundamentals in languages such as Python, is also necessary.
The AI Product Engineer will architect and ship new AI-native product experiences from prototypes to scaled production systems. They will build LLM-powered agents that autonomously reason through complex workflows and contribute to the AI product stack, including prompt orchestration, context engineering, evals, embeddings, and retrieval systems. This role involves developing full-stack product surfaces that incorporate AI into user experiences, collaborating with AI platform, infra, and design teams, and staying current with the AI ecosystem to adopt emerging techniques. The engineer will also influence Ramp’s broader AI product strategy and technical vision.
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.