
Senior Backend Engineer, Python, FastAPI
Posted Jun 12

Posted Jun 12
This is a fully remote position, open to applicants in India.
• Create and develop scalable backend services utilizing Python and FastAPI.
• Construct dependable document-processing pipelines capable of managing large PDFs (over 200 pages).
• Execute AI-driven document classification workflows using taxonomy-based logic and confidence scoring.
• Design and uphold document taxonomies, classification schemas, and structured labeling systems.
• Facilitate multi-page document assembly employing taxonomy-driven rules and page-level signals.
• Integrate LLM APIs for document analysis and classification workflows, preferably the GPT-4 Vision API.
• Develop robust asynchronous processing systems featuring queues, background workers, retry logic, and task orchestration.
• Implement audit trails, data lineage tracking, taxonomy versioning, and rationale mechanisms for classification.
• Create workflows for exception handling and fallback, including pathways for 'needs review' classifications.
• Enhance backend performance, infrastructure utilization, and costs associated with AI inference.
• Collaborate with cross-functional teams to facilitate compliance-oriented document workflows and business operations.
• Assist in loan-processing workflows by classifying, validating, and assembling borrower documents such as KYC, income proofs, bank statements, and agreements.
• 8–10 years of extensive hands-on experience in backend development.
• Proficiency in Python and the FastAPI framework.
• Significant experience with PDF processing libraries such as PyPDF2, pdf2image, or other similar tools.
• Experience with the integration of LLM APIs for document classification and analysis workflows.
• Practical experience with Google Cloud Platform (GCP), including Cloud Storage, Firestore, and Cloud Tasks.
• Strong grasp of asynchronous job patterns, including queues, background workers, and retry mechanisms.
• Experience in designing scalable systems with a keen focus on error handling, data lineage, audit trails, and workflow reliability.
• Experience with OCR and document-processing systems.
• Practical experience in designing or managing document taxonomies, classification schemas, structured labeling systems, confidence thresholds, and rules-based validation systems.
• Comprehensive understanding of backend architecture, performance optimization, and system scalability.
• Exceptional analytical, debugging, and problem-solving abilities.
• Compensation will be based on approved working hours.
• Remote working hours: 5:30 PM to 2:30 AM IST.
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Anyone AI
FCamara Consulting & Training
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