Senior Product Engineer
Raspberry AI - United States
Posted Feb 3, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Senior Product Engineer United States About the Company Raspberry AI is a leading provider of AI design software for fashion brands and retailers. Our software empowers brands to understand consumer demand and create unique designs in minutes. Using advanced AI analytics and generative AI, we help fashion brands revolutionize their design and merchandising processes. We are a Series A startup backed by top-tier venture capital firms including Andreessen Horowitz (a16z), Khosla Ventures, and Greycroft. Role We are seeking a talented and motivated Full Stack Software Engineer to join our growing team. You will play a critical part in developing and enhancing core components of our AI-powered design platform. What You'll Do - Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript) and related backend services (FastAPI/Python) - Develop and maintain RESTful 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 Qualifications - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - 6+ years of industry experience - Strong programming skills in Python, experience with cloud platforms like GCP or AWS (e.g., serverless functions, containerization), and familiarity with data analysis tools like BigQuery - Experience building web applications and user interfaces for AI products - Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Huggingface) is a plus - Proven experience building and deploying AI-native applications, with hands-on
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