Data & AI Engineer Intern

Location: Paris, France, with a hybrid working model

Salary: €2,000 gross monthly gratification

Company

hirify.global provides an AI-powered SaaS platform for insurers, combining generative, agentic, and predictive AI to detect fraud, assess risk, and improve claims and payment integrity.

What you will do

• Own a Data & AI platform feature using large language models and agentic workflows from exploration through production.
• Work with clients, Product teams, and domain experts to understand business problems and define suitable solutions.
• Explore current AI approaches, test alternatives, and identify the best solution for the use case.
• Design and build the feature with Architects, the AI Research Lab, and a cross-functional squad.
• Evaluate and improve performance using precision, recall, accuracy, and latency metrics.
• Deploy and maintain the feature in collaboration with forward-deployed Data Scientists.

Requirements

• Currently enrolled in a Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or Big Data.
• Strong skills in Python and object-oriented programming.
• Hands-on interest in LLMs, agentic workflows, ML evaluation frameworks, and automation.
• Strong engineering mindset with an interest in code quality, system performance, and software design.
• Ability to provide a 6-month internship agreement signed by a school or university, starting around February 2027.
• Fluent English is mandatory.

Nice to have

• Prior exposure to C#, Java, or C++ through coursework, internships, or personal projects.

Culture & Benefits

• Flexible, autonomous, and adaptable working environment with a horizontal organization and hybrid model.
• Hands-on training, workshops, and learning sessions with experienced AI researchers.
• Dedicated HR partner, regular reviews, and feedback sessions.
• International English-speaking environment with colleagues from more than 50 nationalities.
• Experience solving real insurance business challenges for major clients.
• Potential conversion to a full-time employee and access to selected learning, leave, mental health, and volunteering benefits depending on eligibility.

Hiring process

• 30-minute Talent Acquisition interview.
• 60-minute technical interview.
• 60-minute hiring manager interview.
• The process typically takes 2 to 3 weeks.