Applied AI Engineer

📋 Description

• Own Generation for Document Intelligence: turn multimodal inputs (keyframes, transcripts, OCR) into
• Design and iterate prompts (system, few-shot, context) for each generation recipe.
• Define per-entity target schemas and validators to ensure output quality.
• Build generation-quality eval datasets and rubrics; monitor quality regressions.
• Assemble multimodal context windows so each model call has what it needs.
• Choose model and token budget per recipe based on quality, cost, latency tradeoffs.

🎯 Requirements

• Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and
• Real eval discipline: built datasets and rubrics, measured factuality/relevance/quality, closed
• Shipped LLM features into production services with measurable product impact
• Comfort with multimodal inputs - video, PDF, audio, image to text or structured output

🎁 Benefits

• Competitive salary and meaningful equity opportunities
• Healthcare, dental, and vision coverage
• 401(k) / RRSP enrollment program
• Take what you need PTO
• A work culture that values meritocracy and global collaboration