Applied AI Engineer

The role

You will own the Generation half of Document Intelligence by turning multimodal primitives into schema-valid entities. You will design recipe prompts, define target schemas, and build evaluation datasets.

What you will do

• Design and iterate recipe prompts for each generation recipe
• Define per-entity target schemas and domain validators
• Build generation-quality eval datasets and rubrics
• Assemble multimodal context windows from keyframes, transcript, and OCR
• Choose the model and token budget per recipe based on quality, cost, and latency tradeoffs

Required qualifications

• Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and retrieval-context patterns
• Real eval discipline: you've built datasets and rubrics, measured factuality/relevance/quality, and closed the loop on regressions yourself
• Shipped LLM features into production services, not notebooks, and can connect model performance to product impact
• Comfort working with multimodal inputs - video, PDF, audio, image - converted to text or structured output

Nice to have

• LLM observability / cost awareness, or experience with an eval platform
• Document, PDF, or video understanding; OCR; retrieval systems
• Light fine-tuning experience, or familiarity with the industrial/maintenance domain

Benefits

• Annual bonus
• Equity
• Commission

About the company

MaintainX is a mobile-first work execution platform for industrial and frontline teams. It became part of Autodesk in August 2026.