Applied AI Engineer

MaintainX

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in applied Generative AI and prompt engineering
  • Proven ability to create evaluation datasets and rubrics for assessing AI output quality
  • Experience delivering production-ready LLM features with measurable impact
  • Familiarity with multimodal data types including video, images, and OCR content
  • Capability to manage model parameters and assess cost-quality trade-offs

Responsibilities

  • Design and iterate on recipe prompts for document generation
  • Define target schemas and validation criteria for generated outputs
  • Construct quality evaluation datasets and implement evaluation rubrics
  • Assemble context windows from diverse multimodal input sources
  • Select appropriate models and optimize token budgets based on project needs

Benefits

  • Comprehensive health coverage, with details provided during the recruitment process
  • Retirement plans tailored to regional offers
  • Opportunities for commission and annual bonuses based on role
  • Equity options as part of the compensation package
  • Commitment to a culturally inclusive workplace environment
Full Job Description
The Role

You'll own the Generation half of Document Intelligence: turning multimodal primitives (keyframes, transcripts, OCR) into schema-valid entities like SOPs, and holding the line on quality so "fast" never becomes "fast and wrong."
  • 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

You'll ride on LLMX for model access and on Attachments for ingestion, and hand off validated entities to the domains that own them. You'll report to our Engineering Lead and work closely with the Processing side of Document Intelligence.

Minimum Requirements:
  • 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

Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.

Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk's benefits are described at benefits.autodesk.com. For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it.

Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging. More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

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