Software Engineer – AI

🕒 May 18

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Thomson Reuters

WebsiteLinkedInAll Job Openings

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 to design, implement, and execute comprehensive testing strategies for AI-powered solutions • Design and implement comprehensive test strategies for advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning • Develop automated testing frameworks for AI model performance, accuracy, and reliability in production environments • Create test cases specific to AI/ML systems, including model validation, output quality assessment, and edge case testing • Validate AI model integrations with production software through robust APIs and scalable data pipelines • Test AI systems adapted to specialized domains, ensuring quality for expert systems in areas such as legal, tax, and compliance • Break down functional requirements into comprehensive test specifications and automation strategies • 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, continuous testing, and monitoring • Act as a thought leader in AI quality assurance, sharing expertise in company-wide forums and representing the organization in emerging testing technologies • Implement comprehensive automated testing frameworks and monitoring systems for AI model performance, accuracy, and reliability • Create and maintain test automation suites using industry-standard tools and frameworks (Selenium, pytest, etc.) • Ensure compliance with ethical AI principles, security standards, and regulatory requirements through thorough testing • Conduct systems analysis and recommend operational improvements to testing processes • Report deviations of quality to development teams and create informative bug reports with effective follow-up • Create detailed test reports documenting all issues found during testing iterations • Work closely with AI researchers, engineers, designers, and product teams to translate AI quality requirements into effective test strategies • Participate in daily stand-ups and iteration meetings in an Agile/Scrum environment • Optimize testing processes considering factors like test coverage, execution time, and resource usage • Support application feature enhancements by ensuring robust quality assurance for AI capabilities

🎯 Requirements

• Bachelor's degree in Computer Science or equivalent experience • 5+ years of experience in software quality assurance and test automation; at least 2 years focused on testing AI/ML systems • 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) and ability to write complex SQL scripts • 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: Flexible hybrid working environment (2-3 days a week in the office depending on the role) • Flex My Way: Supportive workplace policies to manage personal and professional responsibilities • Career Development and Growth: Culture of continuous learning and skill development • Industry Competitive Benefits: Comprehensive benefit plans, flexible vacation, Mental Health Days off, retirement savings, tuition reimbursement, employee incentive programs, mental, physical, and financial wellbeing resources • Culture: Award-winning reputation for inclusion, belonging, and work-life balance • Social Impact: Two paid volunteer days off annually, opportunities for pro-bono consulting projects and ESG initiatives