Applied AI Engineer
- United States
- Mid Level
- Posted
Skills
Required
- LLM
- working with multimodal inputs
- observability / cost
- eval platform
Preferred
- OCR
- retrieval systems
- GenAI
- prompt engineering
- RAG
- retrieval-context patterns
Join our team as an Applied AI Engineer, where you'll be responsible for the generation aspect of Document Intelligence. You'll design and iterate recipe prompts, define target schemas and domain validators, build evaluation datasets, assemble multimodal context windows, and choose the model and token budget for each recipe. You'll work closely with the Processing side of Document Intelligence and report to our Engineering Lead. Enjoy flexible time off, comprehensive healthcare coverage, training and development investments, and competitive salary and equity opportunities.
Responsibilities
- Posséder la moitié de la génération de l'intelligence documentaire en transformant des primitives multimodales en entités conformes aux schémas.
- Concevoir et itérer des invites de recette pour chaque recette de génération, en définissant les schémas cibles par entité.
- Construire des ensembles de données d'évaluation de la qualité de génération et des rubriques, en exécutant sur le pipeline d'évaluation de LLMX.
- Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and retrieval-context patterns
- Shipped LLM features into production services, not notebooks, and can connect model performance to product impact
- Real eval discipline: you've built datasets and rubrics, measured factuality/relevance/quality, and closed the loop on regressions yourself
Requirements
- 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
Preferred
- Document, PDF, or video understanding; OCR; retrieval systems
- Light fine-tuning experience, or familiarity with the industrial/maintenance domain
Pay
USD 152,000 - 271,000
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