Applied AI Engineer

Summary

MaintainX is an AI-powered maintenance and asset management platform. The Applied AI Engineer will own the generation side of Document Intelligence, transforming multimodal inputs into validated maintenance entities such as SOPs. The role focuses on prompt and context design, schema validation, evaluation systems, and balancing model quality, cost, and latency in production.

Responsibilities

• Design and iterate recipe prompts — system, few-shot, and context assembly — for each generation recipe
• Define per-entity target schemas and domain validators (procedure step-type rules, field caps) that generated output has to pass
• Build generation-quality eval datasets and rubrics, offline and online, running on LLMX's eval pipeline, and close the loop when quality regresses
• Assemble multimodal context windows from keyframes, transcript, and OCR so each model call has exactly what it needs
• Choose the model and token budget per recipe based on quality, cost, and latency tradeoffs

Skills

• 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
• 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

Qualifications

Must Haves

• 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 Haves

• 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

• Meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A work culture where you’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• A meritocratic environment where ideas and effort are publicly celebrated.