Senior Lead Software Engineer - AI
- Thomson Reuters
- 7 - 12 years
- Hyderabad
- 10 days ago
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Job Description
- Advance document intelligence: Build generalizable models for tax documents (standard and non standard) using CV/NLP/LLMs and embeddings to move beyond fixed OCR templates with dynamic, context aware parsing.
- Boost auto verification & quality: Improve native PDF/text layer matching, anomaly detection, and prior year 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.
- 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 Senior Lead Software Engineer - AI if you have the following required qualifications:
- 7+ 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.
- 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 mid level/junior engineers on AI best practices and production grade coding.
- Contribute to internal standards, best practices, and templates for building AI workflows with Reducto.
- Document AI background: layout parsing, table extraction, doc type classification, native PDF matching, and verification automation.
- Agentic/LLM orchestration experience: familiarity with TR AI platforms such as Materia and Additive; retrieval augmented and tool use 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
- Youve 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 cleverness especially in domains where errors have financial or compliance impact.
- Youre comfortable reading tax/business rules and working with domain experts, even if youre not a tax specialist yourself.
Job Classification
Industry: Accounting / AuditingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: Thomson ReutersLocation(s): Hyderabad+ View Contact
Keyskills: Automation Lead Software Coding Consulting Flex Senior Lead Workflow Data quality Monitoring Python
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