Job Description – Senior Backend Engineer (Python/FastAPI) Experience: 8–10 Years Location: Remote Timings: 5:30 PM to 2:30 AM IST Notice Period: Immediate Joiners Only 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.