Applied AI Engineer

About the Role

The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you.

What You’ll Do

• Ship full-stack AI projects end to end
• Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning
• Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp
• Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams

What You Need

• 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 LLMs
• Experience building backend systems and infrastructure that can support AI-driven products