[Hiring] Senior Python Engineer, Document Analytics @Rooted Talents

Role Description

Construction documents—drawings, specifications, change orders, RFIs—are the raw material our platform runs on. You will own the Python layer that reads them: extending the Document Analytics pipeline, integrating AI/ML capabilities, and keeping it production-solid at scale. This is a hands-on engineering role. You will write code every day.

• Document ingestion, classification, and structured data extraction pipelines
• Computer vision workflows for architectural drawings, plans, and trade-specific formats
• LLM integration for intelligent document understanding—prompt design, output validation, domain rules
• OCR and pre-processing: image normalization, layout analysis, confidence scoring
• Scalable batch processing on Azure—resilient job queues, failure handling, observability
• API contracts between the analytics layer and the .NET platform core

Qualifications

• 5+ years of professional Python development—production code, not just scripts
• Document analysis experience: PDF parsing, OCR pipelines, or image-based data extraction
• Computer vision fundamentals: OpenCV, object detection, image segmentation
• LLM API integration experience (OpenAI, Anthropic, Azure OpenAI) in a production context
• Cloud deployment on Azure or equivalent: containerized services, job queues, blob storage
• Fluent written English—you document your work and communicate design decisions clearly

Requirements

• Experience with construction documents specifically—drawings, specs, or trade submittals
• Hands-on with modern document AI: Azure Document Intelligence, Textract, or LayoutLM-family models
• You’ve built or contributed to a RAG pipeline or document intelligence product used in production
• Resilience is a habit: idempotent jobs, dead-letter queues, structured logging from day one
• You can move fast in an early-stage environment where the right answer is ‘ship and learn’

Benefits

• Compensation: $4000
• Remote: Philippines-Based Independent Contractor
• Schedule: Full-time (U.S. business hours preferred)