Senior Backend Engineer – Python & FastAPI (Document AI Systems)

Website: narbagroup.com
Job details:
Role Overview

We are seeking a Senior Backend Engineer with strong expertise in Python and FastAPI to build and scale a high-performance document-processing backend system.

The system will handle large and complex PDFs (200+ pages) and support AI-driven classification workflows integrated with LLMs.

This role requires strong system design skills with a focus on:

• Reliability
• Performance optimization
• Exception handling
• Auditability
• Cost-efficient execution
  
  

A key responsibility will be designing and managing document taxonomies that power classification, multi-page document assembly, confidence scoring, and compliance workflows.

Key Responsibilities

• Design and develop backend services to process large PDFs (200+ pages) reliably
• Implement AI-based document classification using structured taxonomies and confidence scoring
• Design and maintain document taxonomies for classification, grouping, and validation
• Support multi-page document assembly based on taxonomy-driven rules
• Build robust exception detection and fallback mechanisms (e.g., “needs review” flows)
• Implement audit trails, data lineage tracking, and taxonomy versioning
• Optimize performance and architecture to reduce infrastructure and AI inference costs
• Support loan processing workflows by classifying and validating borrower documents (KYC, income proof, bank statements, agreements, etc.)
  
  

Required Skills & Experience

• 4+ years of hands-on experience with Python and FastAPI
• Strong experience in PDF processing (PyPDF2, pdf2image, or similar libraries)
• Experience integrating LLM APIs for document analysis/classification (GPT-4 Vision preferred)
• Hands-on experience with Google Cloud Platform (GCP):
• Cloud Storage
• Firestore
• Cloud Tasks
• strong understanding of asynchronous job patterns (background workers, queues, retry logic)
• Solid systems thinking with focus on:
• Error handling
• Data lineage
• Audit trails
• Experience with document taxonomies, classification schemas, or structured labeling systems
• Experience with OCR or document processing systems
• Experience with taxonomy versioning, confidence thresholds, and rules-based validation
• Background in financial services or compliance-focused projects
  
  

What We’re Looking For

• A backend engineer who thinks in terms of systems, not just APIs
• Strong ownership of failure handling, edge cases, and long-running workflows
• Ability to convert unstructured documents into structured, explainable, and auditable outputs
• Comfortable working in a document-heavy, AI-powered backend environment
  
  

Skills: processing,focus,taxonomy,assembly,classification,python,fastapi,cloud,design Click on Apply to know more.