Lead QA Software Engineer - AI IRefinitiv • Toronto, ON, CA
Lead QA Software Engineer - AI I
Refinitiv • Toronto, ON, CA
Il y a plus de 30 jours
Type de contrat
- Temps plein
Description de posteOur Privacy Statement & Cookie Policy This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the roleThomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For Ontario, Canada, the base compensation range for this role is $140,000 CAD - $175,000 CAD.Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all 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 applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodationLearn more on how to protect yourself from fraudulent job postingsMore information about Thomson Reuters can be found onJob Description Lead Software Engineer - AI, QA We are seeking an experienced Lead Software Engineer to join our fast-moving, forward-thinking group that is creating AI-driven software for legal professionals, and our flagship product, Westlaw. You will be testing and implementing cutting-edge solutions using Python, REST APIs, AI technologies, and AWS cloud infrastructure. About the Role : In this role as a Lead Software Engineer - AI, QA , you will : Lead AI quality strategy for the content engineering team and come up with a framework using AI that can be used for quality checks of content migration. Ability to work closely with the partners in coming up with testing plans, timelines, and release strategy for all of the content migration. Innovate, implement and operationalize test frameworks in a fast-paced Environment Be part of a fast-moving, forward-thinking group that is creating AI-driven software for legal professionals. You’ll work with top AI and software development experts, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the developing backend services for Legal Research products. Design and implement backend services that power generative AI agents and orchestration systems. This role requires both creativity and rigor to ensure our AI-driven solutions are performant, reliable, and adaptable to real-world use cases. Work closely with AI / ML engineers from TR Labs, developers, product managers, and designers to build robust services that support generative AI experiences. Help to build out our core AI interfaces such as Conversations, Workspaces, Grid, and Knowledge Base. Key Responsibilities : Backend Development & AI Integration Develop test suites for backend services using Python, FastAPI, and PostgreSQL. Implement AI orchestration systems integrating LLMs from OpenAI, Anthropic, and other providers. Design testing strategies for APIs and backend logic for real-time AI interactions. Help to build our content services to automate many different AI driven workflows across the legal professional domain Performance & Scalability Ensure backend systems are secure, scalable, and optimized for AI-driven applications. Monitor and enhance system performance, across millions of documents and AI driven interactions Work closely with AI researchers, engineers, and product teams to translate AI capabilities into real-world applications. Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies. Work closely with AI researchers, engineers, and product teams to translate AI capabilities into real-world applications. Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies. About You You’re a fit for the role of Lead Software Engineer – AI, QA if your background includes : Bachelor’s degree in computer science, Computer Engineering, Related Field, or Equivalent Experience. 7+ years of hands-on software development experience in test automations, building scalable web services, and APIs. 3+ years of hands-on using Python Expertise in AWS cloud services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc) or similar cloud services. Experience managing infrastructure with Terraform, CloudFormation, or similar IaC tooling. Strong Data Engineering background and experience with Retrieval Systems leveraging tools like OpenSearch. Experience implementing modern DevOps best practices in production environments (CI / CD using GitHub Actions and AWS services (Code Pipeline / Code Build) Experience with LLMs, AI Solutions, and evaluation and understanding of agentic systems and workflow Excellent interpersonal skills with the ability to influence across organizational boundaries A pragmatic and curious mindset that drives you to find elegant solutions to complex problems Strong communication skills that enable you to articulate technical concepts to diverse audience Demonstrated ability to mentor others and contribute to engineering culture Experience in using AI-powered tools in SDLC is required#LI-SM2 Hybrid Work Model : We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance : Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth : By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow
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Lead QA Software Engineer AI I • Toronto, ON, CA
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