Élisa Jobs

Generative AI Engineer – 3D Platforms

Élisa

Generative AI Engineer – 3D Platforms

Reposted 13 Days Ago

Remote or Hybrid

Hiring Remotely in United States

Entry level

Remote or Hybrid

Hiring Remotely in United States

Entry level

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

The summary above was generated by AI

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

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