Full-Stack AI Engineer — LLM Infra & Tools

Ramp; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Ramp is seeking strong full-stack engineers for our Applied AI team to work on AI Agents, Retrieval-Augmented Generation, and Structured Extraction. You will contribute to building and deploying scalable AI features across Ramp’s platform, including production inference and model fine-tuning.

Join a fast-paced team focused on real production use cases of large language models, and help deliver internal tools and infrastructure that empower Ramp's engineers and product teams to move quickly and

Qualifications

• Strong track record delivering full-stack software with production-grade AI features.
• Experience building or integrating AI/ML systems and data pipelines.
• Ability to ship features end-to-end in a fast-paced environment.

Responsibilities

• 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.

Skills

Full-stack engineering

AI/ML systems

Backend development

Frontend development

Infrastructure

Tools

Git

Docker

Kubernetes

Job description

Ramp is seeking strong full-stack engineers for our Applied AI team to work on AI Agents, Retrieval-Augmented Generation, and Structured Extraction. You will contribute to building and deploying scalable AI features across Ramp’s platform, including production inference and model fine-tuning.

Join a fast-paced team focused on real production use cases of large language models, and help deliver internal tools and infrastructure that empower Ramp's engineers and product teams to move quickly and