Generative AI Engineer – 3D Platforms

Location: Hybrid or remote (within ±3 hours of Montreal timezone) Type: Full-time, Need to be legally authorized to work in Canada Start Date: September 2025 About Élisa Élisa is the first AI assistant that instantly assembles fully editable 3D scenes through natural conversation. It transforms any asset library into a real-time scene builder for games, advertising, and film—already live in Unreal and Unity and ready to plug into any 3D platform. Élisa lets designers, directors, and creatives spin up virtual worlds in seconds. See it live at https://elisainteractive.com/youtube and learn more at https://elisainteractive.com . What You’ll Do Design and implement production-ready LLM pipelines for agentic workflows, agent development, usage monitoring, and continuous evolution. Build automated pipelines for data acquisition. Leverage a product-first mindset to build agents that align with our user experiences. You’ll be working directly with co-founders. We value efficiency over long hours. Responsibilities Design and own end-to-end AI/LLM workflows from data collection through deployment Automate dataset pipelines at scale Monitor agent usage and performance; refine based on insights Integrate agents with 3D scene composition in partnership with engine team Document processes and contribute to incident response and continuous improvement Qualifications Production AI experience: Demonstrated success shipping LLM- or ML-powered features Mathematical fluency: Strong grasp of vectors, matrices, and transforms for 3D data management Dataset wrangling: Proven record curating and scaling multimodal (text + 3D) datasets Automation mindset: Comfortable scripting pipelines and experiment workflows Observability & incident management: You know how to measure, alert, and respond when models misbehave Nice-to-Haves Background in real-time 3D, interactive media, or game-engine pipelines Research or industry work in computational geometry or generative 3D models Security or compliance exposure for AI/ML systems