Lead​/Software Engineer, AI

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

Are you ready to shape the future of AI-driven 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, high-stakes 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 AI-powered tax workflows—from data ingestion to production deployment.

1040

SCAN is the market-leading scan-and-populate engine in the 1040 workflow, organizing work papers, extracting data, and exporting to tax software  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, context-aware parsing.

• Boost autoverification & quality: Improve native PDF/text-layer matching, anomaly detection, and prioryear-aware checks to catch issues before human review; design human-in-the-loop flows that preserve practitioner control.

• Scale the pipeline: Productionize low-latency training/inference pipelines over millions of documents with robust observability, evaluation, and drift monitoring.

• Integrate LLMs and traditional ML models into robust, auditable workflows that support tax determination, document processing, and rules-based automation.

• Build and maintain data pipelines, feature extraction, and preprocessing for tax-relevant 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.

• Collaborate across Sure Prep 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 you

You'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/Tensor Flow), with experience in LLMs, embeddings/vector search, prompt design/evaluation, and statistical methods for quality and uncertainty.

• Cloud-native ML ops experience: training/inference pipelines, feature/data stores, observability, cost/perf optimization.

• Own end-to-end lifecycle for AI features: design, implementation, testing, deployment, monitoring, iteration.

• 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 production-grade coding.

• Contribute to internal standards, best practices, and templates for building AI workflows with Reducto.

• You've built end-to-end AI features that are running in production, not just prototypes.

• You can take a vague tax/business requirement and turn it into a concrete, testable workflow design.

• You care about robustness and correctness as much as…