Lead/Staff Software Engineer, AI

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.Lead/Staff Software Engineer, AIAre you ready to shape the future of AIdriven tax automation? We're looking for a Senior AI Engineer to build and scale intelligent workflows using modern LLM/ML tooling. Your work will directly impact how tax professionals automate complex, highstakes processes and access critical information.You'll join our Tax and Accounting Professionals 1040 Scan product engineering team and own the design, implementation, and optimization of AIpowered tax workflows-from data ingestion to production deployment.1040SCAN is the market-leading scan-and-populate engine in the 1040 workflow, organizing workpapers, extracting data, and exporting to tax software at scale. As a Senior AI engineer, you will modernize the AI that powers document understanding, extraction, and verification-expanding coverage and accuracy while reducing human effort.About the role,As a Lead/Staff Software Engineer AI, you will:Advance document intelligence:Build generalizable models for tax documents (standard and nonstandard) using CV/NLP/LLMs and embeddings to move beyond fixed OCR templates with dynamic, contextaware parsing.Boost autoverification & quality:Improve nativePDF/textlayer matching, anomaly detection, and prioryearaware checks to catch issues before human review; design humanintheloop flows that preserve practitioner control.Scale the pipeline:Productionize lowlatency training/inference pipelines over millions of documents with robust observability, evaluation, and drift tegrate LLMs and traditional ML models into robust, auditable workflows that support tax determination, document processing, and rulesbased automation.Build and maintain data pipelines, feature extraction, and preprocessing for taxrelevant data (e.g., invoices, filings, transactional data).Develop and integrate RESTful APIs / microservices to expose AI capabilities to internal and external systems.Ensure solutions meet compliance, security, and auditability requirements typical of tax and regulated domains.You'll collaborate across SurePrep engineering and other Thomson Reuters product & engineering teams leveraging TR's AI platforms including Materia and Additive to deliver reliable, auditable AI in production.About youYou're a fit for the role of Lead/Staff Software Engineer, AI if your background includes:5+ years in applied ML/AI(or 5+ with an advanced degree) delivering production systems in document AI/OCR/NLP or information extraction at scale.Strong Python and deep learning expertise(PyTorch/TensorFlow), with experience in LLMs, embeddings/vector search, prompt design/evaluation, and statistical methods for quality and uncertainty.Cloudnative ML ops experience:training/inference pipelines, feature/data stores, observability, cost/perf optimization.Own endtoend lifecycle for AI features: design u00a0implementation u00a0testing u00a0deployment u00a0monitoring u00a0iteration.Optimize model/workflow inference for latency, throughput, and cost, including caching, batching, and model selection strategies.Implement monitoring, logging, tracing, and alerting for workflows and models in production (data drift, model performance, error rates).Debug and troubleshoot complex AI systems in production, including prompt failures, integration bugs, and data quality issues.Partner with Product, Tax SMEs, and other engineering teams to translate business/tax requirements into AI workflows.Collaborate with data scientists and ML engineers on model selection, evaluation, and experimentation within Reducto pipelines.Lead design reviews, perform code reviews, and mentor midlevel/junior engineers on AI best practices and productiongrade coding.Con

Created: 2026-02-02