Product Engineer: End-to-End AI Platform

Galtea

Barcelona

Híbrido

EUR 55.000 - 85.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Flexible work environment
Stock options
23+ vacation days
Professional development budget
Cutting-edge AI projects
Dynamic startup culture

Descripción de la vacante

Galtea is seeking a Product Engineer to own key user flows end-to-end on our AI platform, from problem definition to shipped product. You will implement scalable backend services and intuitive frontend experiences, using modern frameworks and AI-assisted development tools.

You will collaborate closely with founders, product leads, and designers to translate complex user needs into elegant technical solutions in a hybrid/remote-friendly environment.

Formación

  • 3+ years in a full-stack role shipping user-facing features.
  • Experience in scaleups or startups.
  • Experience with Node.js/TypeScript and modern frontend frameworks.
  • Ability to work with AI-assisted development tools.

Responsabilidades

  • Own key user flows end to end from problem definition to shipped product.
  • Apply architectural judgement and modern development practices across the stack.
  • Build and maintain backend services (Node.js/NestJS) and frontend experiences (React/Vue).
  • Collaborate with founders, product leads, and designers to translate complex needs into solutions.

Conocimientos

Full-stack
Node.js
TypeScript
React
Vue.js
AI tooling
English
Spanish

Educación

Bachelor's degree or equivalent

Herramientas

LangChain
LlamaIndex
CI/CD
Docker

Descripción del empleo

Galtea is seeking a Product Engineer to own key user flows end-to-end on our AI platform, from problem definition to shipped product. You will implement scalable backend services and intuitive frontend experiences, using modern frameworks and AI-assisted development tools.

You will collaborate closely with founders, product leads, and designers to translate complex user needs into elegant technical solutions in a hybrid/remote-friendly environment.

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