AI Product Engineer — End-to-End Builder

Rippletide

Paris

Hybrid

EUR 65,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Equity

Job summary

Rippletide is seeking a product engineer to own significant parts of an ambitious AI product. You will work with the Head of Engineering and founders to decide what to build, own execution, and translate customer conversations into production features.

You will help determine what can run automatically and what requires human approval within business workflows. You’ll ship frequently, tackle ambiguous problems, design APIs and data models, and contribute to a growing engineering culture as the

Qualifications

  • 3+ years of professional software engineering experience.
  • Full-stack ability with comfort on frontend and backend.
  • Strong product judgment and customer-focused decision making.
  • Solid foundations in API design, data modeling, and maintainable code.
  • Ownership and initiative, able to drive open-ended problems.
  • Proven track record of shipping quickly without compromising quality.
  • Interest in AI-native engineering and understanding of AI agent workflows.

Responsibilities

  • Own a product area end to end from problem to launch and iteration.
  • Build and ship at a high pace with small, reviewable changes.
  • Find a path through ambiguity and move forward with limited specs.
  • Assess requests for real impact and propose simpler alternatives.
  • Build across the stack including interfaces, APIs, data models, and integrations.
  • Collaborate with Head of Engineering and founders to shape the product and codebase.

Skills

Full-stack ability
Product judgment
API design
Ownership
Shipping quickly
AI-native engineering
Curiosity about AI products

Tools

TypeScript
React
Vite
Tailwind CSS
Express
PostgreSQL
Drizzle ORM
Bun
Turborepo

Job description

Rippletide is seeking a product engineer to own significant parts of an ambitious AI product. You will work with the Head of Engineering and founders to decide what to build, own execution, and translate customer conversations into production features.

You will help determine what can run automatically and what requires human approval within business workflows. You’ll ship frequently, tackle ambiguous problems, design APIs and data models, and contribute to a growing engineering culture as the

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