Posted by employer 9 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Applied AI Engineer at Ramp focuses on delivering full-stack AI projects that enhance the company's financial infrastructure. This role requires expertise in web frameworks, backend systems, and cloud infrastructure, particularly in the context of large language models. Ideal candidates are experienced engineers who thrive in high-stakes environments and are eager to tackle complex AI challenges. Ramp's culture emphasizes ownership and innovation, making it a fitting environment for proactive builders.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 16, 2026. Last confirmed on Ramp's careers page October 27, 2026.
- AI/ML appears in 7.2% of 555 comparable fullstack roles in United States; infrastructure appears in 0.2% of 555 comparable fullstack roles in United States.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, LLM inference, backend development, infrastructure, web frameworks.
- Is this full-time or contract?
- Full-time for this Applied AI Engineer role at Ramp.
From the original posting
The problems are high-stakes, data-dense, and unforgiving.
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
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
Fertility HRA (up to $10,000 per year)
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
United Kingdom
Private medical insurance through Freedom Elite
Standard company text repeated across Ramp's postings is omitted here.