AI Process Automation Engineer

We are seeking an AI Process Automation Engineer to design and implement intelligent automation solutions within a creditors’ rights legal practice. This role combines artificial intelligence, process engineering, and legal domain expertise to transform high-volume, document-intensive workflows into scalable, accurate, and compliant automated systems. You will work closely with attorneys, paralegals, and operations leaders to reduce manual effort, accelerate case throughput, and maintain strict regulatory compliance. Responsibilities Map and analyze end-to-end creditors’ rights workflows — from placement intake and demand letter generation through litigation filing, judgment enforcement, and post-judgment collection — to identify automation opportunities. Build AI-powered document processing pipelines that extract, classify, and validate data from court filings, payment records, account statements, bankruptcy notices, and client placement files. Design and deploy LLM-based workflows for drafting and reviewing legal documents such as complaints, affidavits of indebtedness, motions for default judgment, garnishment applications, and satisfaction of judgment filings. Automate court e-filing processes, deadline calendaring, and case status tracking across multiple jurisdictions and court systems. Develop integrations between case management systems, client portals, skip tracing tools, payment platforms, and document management repositories. Create intelligent triage systems that route incoming accounts based on balance thresholds, statute of limitations calculations, bankruptcy flags, active-duty military status (SCRA), and state-specific regulatory requirements. Build monitoring and reporting dashboards that track automation accuracy, case cycle times, compliance metrics, and return-on-investment by client portfolio. Implement quality control checkpoints and exception-handling workflows to ensure automated outputs meet legal and ethical standards before filing or client delivery. Stay current on regulatory changes affecting creditors’ rights practice — including FDCPA, CFPB guidance, state licensing requirements, and court rule amendments — and update automations accordingly. Qualifications A bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). 3+ years of experience in software engineering, process automation, or legal technology. Proficiency in Python and at least one additional language. Hands-on experience with AI/ML frameworks and LLM APIs (e.g., Anthropic). Strong understanding of RESTful APIs, webhooks, database design, and event-driven architectures. Experience with cloud platforms. Comfort working with large, messy datasets including scanned documents, inconsistent file formats, and legacy system exports. Nice to Have Prior experience working in or alongside a creditors’ rights, collections, or consumer finance law firm. Familiarity with court e-filing systems (Tyler Technologies, File & Serve, Odyssey eFileIL, etc.). Knowledge of FDCPA, FCRA, CFPB regulations, SCRA, and state-specific collection statutes. Experience with OCR, intelligent document processing, or document intelligence platforms. Background in RPA tools such as UiPath. Understanding of skip tracing data sources and third-party vendor integrations. Exposure to Six Sigma, Lean, or other process improvement methodologies within legal operations. #J-18808-Ljbffr Aldridge Pite Haan, LLP