Applied AI Engineer

Stack

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 of Ramp's AI and engineering teams

Requirements

• ▹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 production use cases of LLMs
• ▹Experience building backend systems and infrastructure that support AI-driven products

Soft skills

What we offer

• ▹Flexible PTO
• ▹Home-office equipment ordering
• ▹Health and wellness stipend
• ▹Travel budget and weekly coffee stipend
• ▹US: full medical/dental/vision coverage, 401(k) with employer match, up to 16 weeks parental leave, relocation support

About the company

Ramp builds the smart infrastructure for finance teams, automating how over $200B in annualized spend flows in and out of more than 70,000 companies; the Applied AI team is at the forefront of AI-driven platform innovation.