About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business.

Since 2012, Mirakl has been pioneering the platform economy, empowering retail and B2B enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by 400+ industry-leading businesses worldwide including Macy’s, Decathlon, Best Buy, Airbus, Toyota Material Handling and Sonepar.

Headquartered in Paris with another office in Bordeaux and with offices in 7 countries, Mirakl is recognized as a Great Place to Work company.

With more than 350 people, Mirakl Labs teams are mainly based in France. They work together on a daily basis to develop our roadmap for our 5 SaaS solutions.

They also address the issues faced by our customers and users, responding to various challenges related to new features, scalability, security, and usability.

We’re looking for an AI Engineer to join the Post-Processing & Evaluation squad working on Mirakl’s AI Catalog Transformer, a GenAI-native product that powers catalog and content enrichment across Mirakl Connect.

This is a hands-on, growth-oriented role where you’ll contribute to improving the quality, reliability, and trustworthiness of GenAI models and outputs, while learning from experienced AI engineers and data scientists.

As a AI Engineer, you will:

• Contribute to the development and optimization of post-processing pipelines that clean, structure, and validate AI-generated content
  
  
• Support the design and execution of model evaluation workflows, including automated metrics and human-in-the-loop assessments
  
  
• Help build and maintain internal tools used by business teams (Sales, Customer Success, Support) to monitor and explain AI output quality
  
  
• Participate in ground truth data curation, annotation quality control, and preparation of datasets for fine-tuning
  
  
• Collaborate with AI Engineers, Data Scientists, and Product Managers to deliver high-quality, production-ready features
  
  
• Continuously learn about GenAI models, evaluation techniques, and software/data engineering practices

• Up to 2 years of experience in AI/ML, data science, or software engineering
  
  
• Solid Python skills and knowledge of data tools (SQL, pandas, etc.); experience with ML or LLMs is a plus
  
  
• Interest in GenAI evaluation, model quality, and post-processing
  
  
• Curiosity, attention to detail, and a hands-on mindset
  
  
• Strong communication skills in French & English, and ability to work cross-functionally
  
  
• Eagerness to learn and grow in a fast-paced AI team
  
  

• Work on one of Mirakl’s most strategic GenAI products
  
  
• Learn from senior AI engineers and contribute to meaningful production use cases
  
  
• Build a foundation in GenAI evaluation, annotation systems, and product-centric AI
  
  
• Collaborate with a multidisciplinary team bridging AI, product, and customer impact
  
  

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations, we strongly encourage you to apply to any of our roles, even if you think you’re not an exact match.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.