AI Engineer

As an AI engineer within Ubisoft's R&D team, you will design, develop, and implement applications and tools that leverage the latest AI technologies to support partners' objectives.

Your role combines hands-on engineering with curiosity and exploration: you will test and maintain applications, contribute to requirements, architecture and design discussions, and evaluate the value of new technologies to strengthen Ubisoft's strategy and best practices.

Responsibilities:

• Design, build & deploy end-to-end-prototypes, MVPs, and scalable components for Online Services & partners using Generative AI and Agentic AI technologies.
• Collaborate closely with cross-functional teams, including domain experts, data scientists, software developers, and cloud experts.
• Collect, preprocess, clean and analyze large datasets for training, finetuning and evaluation purposes.
• Conduct rigorous testing and evaluation of LLM driven applications to measure their performance and user satisfaction.
• Analyze data & give insights to inform stakeholders regarding solution performance and propose improvement actions and finetuning.
• Build & support automations via CI/CD for typical LLM processes.
• Document & share knowledge through technical content and guidelines.
• Anticipate and manage risks of emerging AI technologies, ensuring responsible and ethical use.
• Stay up to date on industry trends and advancements in AI and data science.

Qualifications:

• Deep understanding of data structures, algorithms, and software engineering principles, as applied to Python & JavaScript.
• Deep understanding of machine learning fundamentals, including deep learning concepts and popular ML libraries.
• Familiarity with Gen AI & Agentic AI techniques.
• Knowledge of DevOps /LLMOps tools and practices.
• Knowledge of RESTful APIs, backend technologies and database.
• Experience with a major cloud provider.

Additional requirements:

• Motivated, curious, and eager to explore new technologies.
• Strong communication skills, able to translate complex concepts for diverse audiences.
• Collaborative and open to feedback, contributing to a supportive team culture.
• Organized and proactive, balancing innovation with delivery.