Senior Backend Engineer (Python/FastAPI)

Role Overview

We are seeking an experienced Senior Backend Engineer with strong expertise in Python and FastAPI to build and scale a high-performance document-processing backend platform. The ideal candidate will work on AI-driven document classification workflows capable of processing large and complex PDFs while ensuring reliability, auditability, scalability, and cost-efficient execution.

This role requires strong systems thinking and hands-on experience designing backend services that integrate with LLMs, OCR systems, and taxonomy-driven classification pipelines. The candidate should be comfortable handling long-running workflows, exception management, and compliance-focused document processing environments.

Key Responsibilities 

• Design and develop scalable backend services using Python and FastAPI.
  

• Build reliable document-processing pipelines capable of handling large PDFs (200+ pages).
  

• Implement AI-driven document classification workflows using taxonomy-based logic and confidence scoring.
  

• Design and maintain document taxonomies, classification schemas, and structured labeling systems.
  

• Support multi-page document assembly using taxonomy-driven rules and page-level signals.
  

• Integrate LLM APIs for document analysis and classification workflows (GPT-4 Vision API preferred).
  

• Build robust asynchronous processing systems using queues, background workers, retry logic, and task orchestration.
  

• Implement audit trails, data lineage tracking, taxonomy versioning, and classification rationale mechanisms.
  

• Develop exception handling and fallback workflows, including “needs review” paths for uncertain classifications.
  

• Optimize backend performance, infrastructure utilization, and AI inference costs.
  

• Collaborate with cross-functional teams to support compliance-oriented document workflows and business processes.
  

• Support loan-processing workflows by classifying, validating, and assembling borrower documents such as KYC, income proofs, bank statements, and agreements.
  

Required Skills & Experience

• 8–10 years of strong hands-on backend development experience.
  

• Expertise in Python and FastAPI framework.
  

• Strong experience with PDF processing libraries such as PyPDF2, pdf2image, or similar tools.
  

• Experience integrating LLM APIs for document classification and analysis workflows.
  

• Hands-on experience with Google Cloud Platform (GCP), including:
  

• Cloud Storage
  

• Firestore
  

• Cloud Tasks
  

• Strong understanding of asynchronous job patterns, queues, background workers, and retry mechanisms.
  

• Experience designing scalable systems with strong focus on:
  

• Error handling
  

• Data lineage
  

• Audit trails
  

• Workflow reliability
  

• Experience working with OCR and document-processing systems.
  

• Hands-on experience designing or managing:
  

• Document taxonomies
  

• Classification schemas
  

• Structured labeling systems
  

• Confidence thresholds
  

• Rules-based validation systems
  

• Strong understanding of backend architecture, performance optimization, and system scalability.
  

• Excellent analytical, debugging, and problem-solving skills.
  

Preferred Qualifications

• Experience in financial services, lending, or compliance-driven environments.
  

• Familiarity with taxonomy versioning and explainable AI workflows.
  

• Experience working on AI-assisted backend platforms and document intelligence systems.
  

• Exposure to long-running workflow orchestration and compliance-focused audit systems.
  

What We’re Looking For

• A backend engineer who thinks in terms of scalable systems and workflows, not just APIs.
  

• Strong ownership mindset with focus on reliability, edge cases, and operational excellence.
  

• Ability to transform ambiguous document inputs into structured, explainable, and auditable outputs.
  

• Comfortable working in fast-paced, AI-assisted backend environments with evolving requirements.
  

Additional Information

• Compensation will be calculated based on approved working hours.
  

• Excellent communication and collaboration skills are essential.