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Senior Backend Engineer Python & FastAPI (Document AI Systems)
Experience Required: 8+ Years
Location: Remote
Working Hours: Full-Time (40 Hours per Week)
Shift Timing: 5:30 PM 2:30 AM IST
Role Overview
We are seeking a highly experienced Senior Backend Engineer with strong expertise in Python and FastAPI to design, build, and scale a document-processing backend capable of handling large, complex PDFs and AI-driven classification workflows.
This role emphasizes system reliability, performance, and architecture. The ideal candidate will have experience building backend services that process 200+ page documents, integrate with Large Language Models (LLMs), and support robust exception handling, auditability, and cost-efficient execution.
A critical aspect of this role involves designing and managing document taxonomies that enable classification, multi-page document assembly, confidence scoring, and downstream compliance workflows.
Required Skills & Experience
8+ years of hands-on experience with Python and FastAPI
Proven experience in PDF processing using libraries such as PyPDF2, pdf2image, or similar tools
Experience integrating LLM APIs for document analysis and classification (GPT-4 Vision API preferred)
Hands-on experience with Google Cloud Platform (GCP), including:
Cloud Storage
Firestore
Cloud Tasks
Strong understanding of asynchronous processing patterns, including:
Background workers
Queues
Retry mechanisms
Solid systems design experience with focus on:
Error handling
Data lineage
Audit trails
Experience designing or working with document taxonomies, classification schemas, or structured labeling systems for AI-driven workflows
Hands-on experience with OCR and document-processing systems
Experience in financial services or compliance-driven environments
Familiarity With
Taxonomy versioning
Confidence thresholds
Rules-based validation frameworks
Experience supporting loan-processing workflows by classifying, assembling, and validating borrower documents such as:
KYC documents
Income proofs
Bank statements
Agreements
Ability to implement taxonomy-driven rules, confidence scoring, and exception handling to enable faster and auditable credit decisions.
Key Responsibilities
Design and develop backend services to reliably process large PDFs (200+ pages)
Implement AI-powered document classification using defined taxonomies and confidence-scoring mechanisms
Design, maintain, and evolve document taxonomies that drive classification, grouping, and validation logic
Support multi-page document assembly using taxonomy-driven rules and page-level signals
Build robust exception detection and recovery mechanisms, including:
Review workflows
Fallback paths
Automated error handling
Implement comprehensive audit trails and data lineage tracking, including taxonomy versioning and classification rationale
Optimize system architecture and performance to manage infrastructure utilization and AI inference costs
Collaborate with cross-functional teams to deliver scalable and compliant document-processing solutions.
What We're Looking For
A backend engineer who thinks in terms of systems and workflows, not just APIs and endpoints
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