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Raspberry AI

AI-driven fashion design and CAD generation

Senior Product Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • At least 6 years of industry experience.
  • Strong programming skills in Python and experience with cloud platforms such as Google Cloud Platform or Amazon Web Services, including serverless functions and containerization.
  • Familiarity with data analysis tools such as BigQuery.
  • Experience building web applications and user interfaces for artificial intelligence products.
  • Proven experience building and deploying artificial-intelligence-native applications, with hands-on expertise in large language models, prompt engineering, and generative artificial-intelligence workflows.
  • Excellent communication and collaboration skills.

Responsibilities

  • Design, develop, and maintain a frontend generative-artificial-intelligence web application using React, Next.js, and TypeScript, along with related backend services using FastAPI and Python.
  • Develop and maintain Representational State Transfer APIs for seamless integration with frontend applications.
  • Collaborate closely with machine learning engineers to translate prototypes into production-ready systems.
  • Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment.

Desired Qualifications

  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face.

About the Company

Raspberry AI

AI-driven fashion design and CAD generation

Raspberry AI provides a subscription-based, AI-powered platform for fashion brands to generate design assets such as technical packs, CADs, high-fidelity designs, product descriptions, and photography. Through an AI-driven cloud service, subscribers access automated outputs and real-time trend feeds, with designers able to review and customize assets via a workspace. Outputs are guided by real-time market data and AI design assistants to speed up development and keep designs aligned with demand. The goal is to shorten the product development cycle and improve sell-through and revenue by delivering end-to-end AI-generated assets and insights faster than traditional workflows.

Company size
51-200
Company stage
Series A
Total funding
$28.5M
Headquarters
New York City, New York
Founded
2022

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