AI Engineer

This role is for one of the Weekdays' clients

Salary range:
Rs  - Rs  (ie INR 100-200 LPA)

Experience:

3+ yrs

Location:

Chicago, Illinois, United States

Job Type: Full-time

We are looking for an experienced AI Engineer to design and build the intelligence layer across a document-to-return workflow. The role focuses on developing production-grade AI systems that transform complex financial and tax documents into reliable, structured data and support tax professionals in identifying missing information, inconsistencies, and potential errors.

This is a hands-on engineering role focused on document intelligence, LLMs, extraction, agentic systems, evaluation, and human-in-the-loop workflows. The ideal candidate combines strong technical skills with a high bar for accuracy, traceability, observability, and production reliability.

• Build production systems fordocument classification, OCR, parsing, and structured data extraction.
• Process PDFs, scanned documents, tax forms, financial statements, receipts, and other unstructured financial information.
• Design extraction workflows that preserve source context, handle ambiguity, and route low-confidence results for human review.
• DevelopLLM-powered document understanding and intelligent extraction capabilities.
• Build AI agents that analyze completed returns against source documents and relevant tax context.
• Identify missing information, inconsistencies, potential errors, and other issues and present findings clearly for professional review.
• Design human-in-the-loop workflows that provide appropriate confidence signals, source citations, review controls, and correction mechanisms.
• Build scalableevaluation frameworks for structured and unstructured document-processing systems.
• Define evaluation datasets, ground-truth labels, scoring methodologies, benchmarks, and statistical analysis approaches.
• Establish observability and feedback systems to measure extraction quality, model performance, and user outcomes.
• Monitor production AI workflows and continuously improve accuracy, reliability, and coverage.
• Identify high-effort manual steps within document and return-preparation workflows where AI can provide measurable value.
• Collaborate with engineering and domain experts to translate real-world workflow requirements into reliable AI systems.
• Establish reproducible testing and evaluation processes for models, agents, and extraction pipelines.
• Contribute to expanding AI capabilities across document processing, return review, and professional workflows.

• 3+ years of experience building production AI, machine learning, or intelligent automation systems.
• Strong hands-on experience with document OCR, document understanding, parsing, and structured data extraction.
• Experience working with PDFs, forms, scanned documents, financial documents, or other complex unstructured data.
• Strong understanding ofLLM-based document processing and modern AI techniques for extraction and reasoning.
• Experience designing and implementingevaluation frameworks for AI or machine-learning systems.
• Strong knowledge of evaluation datasets, ground-truth labeling, scoring methodologies, benchmarking, and statistical analysis.
• Experience building or working withagentic AI system sand human-in-the-loop workflows.