Applied AI Engineer - Full-Stack AI & Infrastructure

Ramp

San Francisco (CA)

In loco

USD 150.000 - 235.000

Tempo pieno

5 ore fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Flexible PTO
Centralized home-office equipment
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend

Descrizione del lavoro

Ramp’s Applied AI team is seeking strong full-stack engineers proficient in web frameworks, backend development, and infrastructure. You will work on AI Agents, Retrieval-Augmented Generation, and structured extraction projects that power Ramp’s platform.

As part of this role, you will ship end-to-end AI projects, build AI infrastructure for production-level inference and model fine-tuning, and contribute to scaling Ramp’s AI solutions using internal tooling and platforms for customer-facing

Competenze

  • Proven ability to deliver end-to-end full-stack AI projects.
  • Experience with production-grade inference and model fine-tuning.
  • Strong understanding of web frameworks, backend systems, and cloud infra.

Mansioni

  • Ship full-stack AI projects end to end.
  • Build and integrate components for AI infrastructure, including production inference and fine-tuning.
  • Develop and improve engineering processes, tools, and systems to scale AI solutions.

Conoscenze

Full-stack development
Web frameworks
Backend systems
Cloud infrastructure
AI production use cases
LLMs

Strumenti

Git
Docker
Kubernetes

Descrizione del lavoro

Ramp’s Applied AI team is seeking strong full-stack engineers proficient in web frameworks, backend development, and infrastructure. You will work on AI Agents, Retrieval-Augmented Generation, and structured extraction projects that power Ramp’s platform.

As part of this role, you will ship end-to-end AI projects, build AI infrastructure for production-level inference and model fine-tuning, and contribute to scaling Ramp’s AI solutions using internal tooling and platforms for customer-facing

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