Software Engineer, AI-Powered PX Insights (Hybrid)

Akeneo

Nantes

Hybride

EUR 55 000 - 75 000

Plein temps

Il y a 12 jours
Générateur de candidature

Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

Passez les filtres ATS

Avantages offerts par ce poste

Meal vouchers (France)
Hybrid work setup
Personal development budget

Résumé du poste

Akeneo is seeking a mid-level engineer to develop AI-powered insights within the PX Insights team. You’ll ship features on a Go backend and React frontend, connect external signals, and craft prompts to improve data quality and conversational commerce readiness.

You’ll grow through code reviews, pairing with senior engineers, and direct customer feedback in a dynamic, hybrid work environment. The role emphasizes problem-solving fundamentals, ownership, and the ability to work with models and

Qualifications

  • Mid-level role with real shipped work and production ownership.
  • Strong problem-solving skills and fundamentals in software design.

Responsabilités

  • Ship features end-to-end on a Go backend and React frontend.
  • Design and iterate prompts for analysis and recommendations.
  • Build connectors as small Go services.
  • Own deployed features and monitor production.
  • Collaborate with senior engineers and the Staff Engineering group.
  • Engage with customers to learn how they use the product.

Connaissances

Go backend
React frontend
AI engineering
Prompt engineering

Outils

Cloud Run
LLM input/output

Description du poste

Akeneo is seeking a mid-level engineer to develop AI-powered insights within the PX Insights team. You’ll ship features on a Go backend and React frontend, connect external signals, and craft prompts to improve data quality and conversational commerce readiness.

You’ll grow through code reviews, pairing with senior engineers, and direct customer feedback in a dynamic, hybrid work environment. The role emphasizes problem-solving fundamentals, ownership, and the ability to work with models and

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