GenAI Engineer, Multimodal Data & Output Quality

MaintainX

San Francisco (CA)

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Hybrid work
Unlimited time off
Equity

Job summary

MaintainX unites data-rich maintenance processes with AI-enabled generation. You will own the Generation half of Document Intelligence, turning multimodal primitives into schema-valid entities and ensuring high quality outputs across SOPs and processes.

Design prompts, set schemas, and build evaluation datasets while collaborating with the Engineering Lead and Processing teams. You will optimize prompts, output quality, and model usage to deliver reliable, scalable AI features that drive

Qualifications

  • Shipped LLM features into production services.
  • Experience with multimodal inputs (video, PDF, audio) to structured output.
  • Strong applied GenAI craft and evaluation discipline.

Responsibilities

  • Design and iterate generation prompts for each recipe.
  • Define per-entity target schemas and validators for generated output.
  • Build eval datasets and rubrics, offline and online, with quality checks.
  • Assemble multimodal context windows for model calls.
  • Choose model and budget per recipe based on quality, cost, latency.
  • Hand off validated entities to owning domains; report to Engineering Lead.
  • Collaborate with Processing side of Document Intelligence.

Skills

GenAI craft
Prompt engineering
Multimodal data handling
Model evaluation
RAG retrieval
LLM integration

Tools

LLMX platform
Attachments ingestion

Job description

MaintainX unites data-rich maintenance processes with AI-enabled generation. You will own the Generation half of Document Intelligence, turning multimodal primitives into schema-valid entities and ensuring high quality outputs across SOPs and processes.

Design prompts, set schemas, and build evaluation datasets while collaborating with the Engineering Lead and Processing teams. You will optimize prompts, output quality, and model usage to deliver reliable, scalable AI features that drive

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