Applied AI Engineer

MaintainX

Applied AI Engineer building multimodal document intelligence for MaintainX’s industrial work platform. Designing validated LLM-generated maintenance entities and evaluation systems.

Posted 9/4/2026full-timeSan Francisco • California, New York, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $152,000 - $271,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Generative AI, including prompt engineering and dataset creation, while effectively connecting model performance to product impact. Proficient in handling multimodal inputs and ensuring quality through evaluation datasets and rubrics.

Highest-signal resume keywords

Generative AI CraftPrompt EngineeringDataset BuildingLLM Feature ProductionMultimodal Input Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringDataset BuildingQuality EvaluationModel Performance MeasurementLight Fine-Tuning

Tools & Technologies

LLMXEval PipelineOCRRetrieval Systems

Industry Keywords

Document IntelligenceMultimodal ContextStructured OutputVideo UnderstandingPDF Understanding

Tech Stack

Tools & technologies

Assembly

About the role

Key responsibilities & impact

Own the Generation half of Document Intelligence
Design and iterate system prompts, few-shot prompts, and context assembly for generation recipes
Define per-entity target schemas and domain validators
Build generation-quality evaluation datasets and rubrics, offline and online, using LLMX’s eval pipeline
Monitor and address quality regressions
Assemble multimodal context windows from keyframes, transcripts, and OCR
Choose models and token budgets based on quality, cost, and latency tradeoffs
Use LLMX for model access and Attachments for ingestion
Hand off validated entities to domain-owning teams
Report to the Engineering Lead and collaborate with the Processing side of Document Intelligence

Requirements

What you’ll need

Strong applied GenAI craft, including prompt engineering, structured output/tool-use, RAG, and retrieval-context patterns
Experience building datasets and rubrics and measuring factuality, relevance, and quality
Experience shipping LLM features into production services
Ability to connect model performance to product impact
Comfort working with multimodal inputs including video, PDF, audio, and images converted to text or structured output
LLM observability/cost awareness or experience with an eval platform (nice to have)
Document, PDF, or video understanding; OCR; retrieval systems (nice to have)
Light fine-tuning experience or familiarity with the industrial/maintenance domain (nice to have)
Legally authorized to work in the United States

Benefits

Comp & perks

Equity
Annual bonus
Health coverage
Retirement benefits
Leave benefits
Belonging and inclusion programs