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2 дня назад

Ai Enabler & Optimisation Intern

Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Ai Enabler & Optimisation Intern (AI Engineering): Experimenting with and prototyping AI tools to optimize engineering workflows and enable AI adoption across teams with an accent on rapid prototyping, internal community enablement, and AI governance. Focus on building quick functional solutions, consulting internal squads, and managing AI software usage.

Location: Hybrid in Paris, France with 1-2 remote days per week depending on team and school allowance

Company

hirify.global is a leading European fintech product company providing finance workspace solutions for SMEs with a strong focus on customer-centric tools and 24/7 support.

What you will do

  • Experiment and prototype AI tools like Cursor, Claude, and Dust to solve real engineering problems.
  • Engage with engineers to identify pain points and build quick AI-powered automations.
  • Animate internal AI communities and support teams in adopting AI workflows.
  • Manage AI software catalog and licenses to optimize usage and costs.
  • Document AI solutions and best practices for company-wide adoption.

Requirements

  • Must be currently pursuing a 6-month internship.
  • Fluent English communication skills required.
  • Tech curiosity with ability to prototype and ship solutions using code and APIs.
  • Comfortable engaging with diverse teams and promoting AI adoption.
  • Work location hybrid with presence in Paris office required.

Culture & Benefits

  • Inclusive and diverse work environment with 55% international team members.
  • 1 or 2 remote days per week depending on team and school policies.
  • Paid day off per month, meal vouchers, and public transportation reimbursement.
  • Wellness and sports offers, disability and parenthood policies, childcare benefits.
  • Monthly team events and mentorship from senior tech leaders.

Hiring process

  • Interviews with Talent Acquisition Manager and future manager/mentor.
  • Remote or live exercise to demonstrate skills.
  • Process lasts about 20 working days with offers usually within 48 hours.

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