Senior Lead Software Engineer – AI

🕒 May 27

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Logo of Thomson Reuters

Thomson Reuters

WebsiteLinkedIn

10,000+ employees

Founded 2008

💸 Finance

📱 Media

☁️ SaaS

Finance • Media • SaaS

Thomson Reuters is a global content and technology company that provides professionals with reliable and accurate solutions across the legal, tax and accounting, international trade, and risk management sectors. The company offers a range of products including legal research tools, tax preparation software, compliance and regulatory solutions, and media services like Reuters for global news. With significant investments in generative AI, Thomson Reuters continues to innovate in helping professionals optimize their workflows and enhance their decision-making. Their platforms serve various industries such as law firms, corporations, tax professionals, and media organizations, providing essential tools that combine powerful technology with in-depth expert content.

📋 Description

• Collaborate with a cross-functional team of product managers, UX designers, AI engineers, and software developers • Design and implement comprehensive test strategies for AI-powered solutions • Develop automated testing frameworks for AI model performance, accuracy, and reliability • Create test cases specific to AI/ML systems, including model validation and output quality assessment • Validate AI model integrations with production software through robust APIs and scalable data pipelines • Evaluate and prototype cutting-edge testing techniques for unique quality challenges • Mentor junior QA engineers and facilitate technical discussions on AI testing best practices • Contribute to MLOps and LLMOps practices with a focus on quality assurance • Act as a thought leader in AI quality assurance

🎯 Requirements

• Bachelor's degree in Computer Science or equivalent experience • 5+ years of experience in software quality assurance and test automation • 70% automation/development experience, 30% manual testing experience • Proficiency in Python and Java with strong coding skills for test automation • Experience with test automation tools and frameworks (e.g., Selenium, pytest, JUnit) • Strong understanding of machine learning principles, evaluation metrics, and AI system testing methodologies • Knowledge of MLOps/LLMOps and the end-to-end lifecycle of AI-powered software applications • Experience testing AI model integrations in production systems using APIs and data pipelines • Good knowledge and experience working with relational databases (SQL, Oracle) • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) • Hands-on experience with source control and CI/CD systems such as Git and Jenkins • Good knowledge and experience working with Web Services and RESTful APIs • Excellent problem-solving skills and ability to work independently in a fast-paced environment • Strong communication skills and experience working in cross-functional teams • Ability to work on multiple projects while setting priorities to complete tasks within set timelines

🏖️ Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) • Flex My Way: supportive workplace policies designed to help manage personal and professional responsibilities • Career Development and Growth: fostering a culture of continuous learning and skill development • Industry Competitive Benefits: comprehensive benefit plans including flexible vacation and Mental Health Days off • Social Impact: two paid volunteer days off annually and opportunities for pro-bono consulting projects

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