Applied AI Engineer
Core
Design and iterate prompt recipes to turn multimodal inputs (keyframes, transcripts, OCR) into structured maintenance knowledge entities like SOPs, ensuring high quality and schema validity.
Role type
Applied Generative AI Engineer (Document Intelligence)
Builds
Document Intelligence engine converting raw customer files into structured entities and AI-native answers
Domain
Industrial operations / Maintenance / Document Intelligence
Deliverable
production ML models
Required skills
prompt engineering, structured output, tool-use, RAG, retrieval-context patterns, dataset and rubric creation, model performance evaluation, multimodal input handling
Preferred skills
LLM observability, cost awareness, document/PDF/video understanding, OCR, retrieval systems, light fine-tuning
Technologies
LLMX, multimodal primitives (keyframes, transcripts, OCR)
Responsibilities
Design and iterate recipe prompts (system, few-shot, context assembly); Define per-entity target schemas and domain validators; Build generation-quality eval datasets and rubrics; Assemble multimodal context windows; Choose model and token budget per recipe
Seniority
Mid-Senior, hands-on IC
