Founding Data Engineer — AI & Data Platforms

Hexa

Paris

Sur place

EUR 90 000 - 150 000

Plein temps

Il y a 3 jours
Soyez parmi les premiers à postuler
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Résumé du poste

Panora is seeking a Founding Data Engineer to design and scale data pipelines, enabling AI-powered insurance workflows.

As one of the first engineering hires, you will own data foundations, build robust APIs, and collaborate with a small, high-impact team to shape the platform’s reliability and compliance in a regulated space.

You will work closely with the CTO and Co-founders to translate real-world insurance needs into scalable data systems.

Qualifications

  • Experience building, operating and improving production systems in a startup or product-driven environment.
  • Strong Python and backend engineering skills.
  • Experience with data-intensive products, AI systems, or LLM applications.
  • Ability to work with messy, unstructured real-world data.

Responsabilités

  • Design, ship and improve AI-powered workflows used daily by insurance brokers.
  • Build evaluation, feedback and monitoring systems to continuously improve performance.
  • Turn complex insurance workflows into reliable AI-powered products.
  • Build and maintain data pipelines powering our products.
  • Process and structure unstructured data (contracts, emails, insurer documents).
  • Improve quality, reliability and observability of our systems.
  • Own systems end-to-end from design to deployment.
  • Contribute to architecture and key technical decisions.
  • Define how AI, data and engineering scale at Panora.

Connaissances

Python
Backend engineering
Data pipelines
AI systems
Ownership
Unstructured data

Outils

MongoDB
AWS

Description du poste

Panora is seeking a Founding Data Engineer to design and scale data pipelines, enabling AI-powered insurance workflows.

As one of the first engineering hires, you will own data foundations, build robust APIs, and collaborate with a small, high-impact team to shape the platform’s reliability and compliance in a regulated space.

You will work closely with the CTO and Co-founders to translate real-world insurance needs into scalable data systems.

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