Ramp

Applied AI Engineer

Ramp2 months ago
Location

New York, NY (HQ)

Type

Full Time

Salary

USD 155,000 – 339,500

Level

Mid

Role

Applied AI Engineer

Posted

Jan 12, 2026

Full TimeMid

The role

Summary

Ramp is seeking an Applied AI Engineer to join their innovative team developing AI-driven solutions for their financial operations platform. The role involves building full-stack AI applications, including AI Agents, RAG systems, and LLM inference infrastructure, while working on real production use cases that serve over 50,000 businesses processing $100B+ annually.

What you'll do

Full-Stack AI Development: Ship complete AI projects from conception to production deployment
AI Infrastructure Building: Build and integrate components for AI infrastructure supporting production-level inference and fine-tuning
Engineering Process Improvement: Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp
Internal Tooling Development: Create tools and internal platforms to enhance productivity of AI and engineering teams
LLM Integration: Implement and optimize large language model integrations for production use cases
RAG System Development: Build Retrieval-Augmented Generation systems for enhanced AI capabilities
Model Fine-tuning: Fine-tune and optimize AI models for specific business applications
AI Agent Development: Design and implement autonomous AI agents for various business processes

What we look for

Technical

Full-Stack DevelopmentProficiency in web frameworks, backend systems, and cloud infrastructure
AI Project ExperienceTrack record of working on full-stack AI projects with production LLM use cases
Backend InfrastructureExperience building backend systems that support AI-driven products
Cloud PlatformsExperience with AWS, GCP, or Azure for AI model deployment
Machine LearningUnderstanding of ML fundamentals and model lifecycle management

Education

Computer Science DegreeBachelor's degree in Computer Science, Engineering, or related field preferred
AI/ML CourseworkFormal or self-directed education in artificial intelligence and machine learning

Experience

Production AI Systems3+ years experience building and deploying AI systems in production environments
Full-Stack Development5+ years of full-stack development experience with modern web technologies
Startup EnvironmentExperience working in fast-paced startup or growth-stage companies preferred

Skills

Required skills

Python ProgrammingAdvanced proficiency in Python for AI/ML development
Full-Stack Web DevelopmentExperience with modern web frameworks and technologies
Large Language ModelsHands-on experience with LLM APIs and fine-tuning
Cloud InfrastructureExperience with AWS, GCP, or Azure for scalable deployments
API DevelopmentBuilding robust APIs for AI services and integrations

Nice to have

Machine Learning OperationsMLOps practices including model versioning, monitoring, and deployment
Vector DatabasesExperience with embedding storage and retrieval systems
KubernetesContainer orchestration for scalable AI applications
Financial TechnologyUnderstanding of fintech domain and financial operations
Open Source ContributionsContributions to AI/ML open source projects

Compensation & benefits

Salary

USD 155,000 – 339,500 (annual)

Stock options

Available

Benefits

Health Insurance

100% medical, dental & vision coverage for employee, partial for dependents

One Medical Membership

Annual membership to One Medical for convenient healthcare

401k with Match

Retirement savings plan with employer matching contributions

Flexible PTO

Unlimited paid time off policy

Fertility Benefits

Health Reimbursement Account up to $10,000 per year for fertility expenses

Parental Leave

Comprehensive parental leave policy for new parents

AI Token Usage

Unlimited access to AI tokens for professional development

Pet Insurance

Coverage for pet healthcare expenses

Home Office Setup

Centralized equipment ordering for remote work setup

Wellness Stipend

Health and wellness reimbursement allowance

Office Perks

Free lunch, snacks, drinks and other in-office amenities

Travel Budget

Budget for intra-office travel between locations

Relocation Support

Assistance with relocation to NYC or SF as needed

Interview process

  1. 1
    Application Review — Initial screening of resume and portfolio by recruiting team
  2. 2
    Recruiter Phone Screen — 30-minute call with recruiter to discuss background and role fit
  3. 3
    Hiring Manager Interview — 45-minute technical and behavioral interview with Applied AI team lead
  4. 4
    Technical Coding Interview — Live coding session focusing on full-stack development and AI implementation
  5. 5
    System Design Interview — Design discussion for AI infrastructure and scalable systems architecture
  6. 6
    Team Collaboration Interview — Meet with potential teammates to assess cultural fit and collaboration style
  7. 7
    Final Executive Interview — Final interview with senior leadership to discuss vision and long-term goals
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Ramp

Ramp

View all jobs

Make expense management easy with Ramp's spend management platform. Combine global corporate cards, travel, expenses and accounts payable to automate finance operations and improve efficiency.

New York City, New York, United StatesFounded 2019ramp.com

Tech Stack

Languages
PythonJavaScript/TypeScriptSQL
Frameworks
ReactNext.jsFastAPI/FlaskPyTorch/TensorFlow
Databases
PostgreSQLVector databasesRedis
Tools
DockerKubernetesAWS/GCPMLflowWeights & Biases
Other
Large Language ModelsLangChainHugging FaceJSON Schema
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