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, AI
Are 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 monitoring.
Integrate 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 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/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 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 productiongrade coding.
Contribute to internal standards, best practices, and templates for building AI workflows with Reducto.
You've builtendtoend AI featuresthat 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 aboutrobustness and correctnessas much as cleverness-especially in domains where errors have financial or compliance impact.
You're comfortable reading tax/business rules and working with domain experts, even if you're not a tax specialist yourself.Preferred Qualifications
Document AI background:layout parsing, table extraction, doctype classification, nativePDF matching, and verification automation.
Agentic/LLM orchestration experience:familiarity with TR AI platforms such as Materia and Additive; retrievalaugmented and tooluse patterns; evaluation and guardrails.
Modern Development Practices: Hands-on with modern AI coding assistants including Claude Code, Cline, and GitHub Copilot for rapid prototyping, code generation, and workflow automation.
Version control: Experience with version control (Git), testing frameworks (pytest or similar), and modern DevOps practices.
Software Engineering: Familiarity with C#, Java or any other programming language
Domain familiarity:exposure to tax/financial document workflows or other regulated content systems is a plus.
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What's in it For You?
Hybrid Work Model: We've adopted a flexible hybrid working... For full info follow application link.
As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
