AI Engineer - Document Intelligence & Applied GenAI

📋 Description

• Build, train, and optimize document-intelligence models to extract structured data from docs.
• Own end-to-end ML systems: datasets, training, inference, and deployment of AI features.
• Address real-world ML challenges: robustness, latency, observability, RAG quality.
• Integrate GenAI: experiment with frontier models; build vision–language pipelines.
• Collaborate with PMs, engineers, and designers to translate AI opportunities into solutions.
• Design and maintain datasets and prep pipelines for PDFs, scans, forms, and semi-structured docs.

🎯 Requirements

• 5+ years of Python experience.
• Experience training, fine-tuning, and deploying CV models for document tasks (layout, OCR, table extraction).
• Hands-on with document models: LayoutLM, Donut, DocFormer.
• Deploy/optimize models with vLLM, TGI, TensorRT, ONNX Runtime.
• Experience applying LLMs to document workflows.
• Spatial reasoning for coordinates in forms/docs.

🎁 Benefits

• Honest, open culture with feedback and growth.
• Work from anywhere — distributed worldwide.
• 6 self care days.
• And much more!