AI Product Engineer: End-to-End Compliance Automation

Freeda

Paris

Sur place

EUR 100 000 - 140 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Office in Paris
Premium health coverage
Gym/wellness stipend

Résumé du poste

Freeda in Paris seeks a strong Python engineer who has shipped AI solutions to production users. You will own end-to-end automation of compliance rules, collaborating with the CTO and compliance experts to define scope. You’ll combine AI building blocks—OCR, embeddings, document parsing, and vision models—to deliver reliable, fast rule resolution in production.

This role requires product-mindedness, startup experience, and the ability to ship in two-week cycles, balancing speed with robustness.

Qualifications

  • Strong Python engineer who has shipped AI solutions to production users.
  • Understanding AI building blocks: agents, OCR, document parsing, embeddings, vision models.
  • Experience at a startup or building end-to-end products.
  • Own real-world workflows, not just features.
  • Product-minded and curious about how people actually work.
  • Enjoy shipping with 2–3 week cycles and visible impact.

Responsabilités

  • Automate compliance rules from idea to production end-to-end.
  • Collaborate with CTO and compliance experts to scope automation.
  • Build reliable, fast solutions that reduce rule-resolution time.
  • Balance AI and product perspectives to deliver actionable outcomes.

Connaissances

Python
AI in production
OCR
Embeddings

Description du poste

Freeda in Paris seeks a strong Python engineer who has shipped AI solutions to production users. You will own end-to-end automation of compliance rules, collaborating with the CTO and compliance experts to define scope. You’ll combine AI building blocks—OCR, embeddings, document parsing, and vision models—to deliver reliable, fast rule resolution in production.

This role requires product-mindedness, startup experience, and the ability to ship in two-week cycles, balancing speed with robustness.

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