Software Engineer - AI

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

Are you eager to grow your career in AI while building production-ready solutions that empower legal professionals worldwide? Join Thomson Reuters Practical Law and contribute to innovative AI features that are reshaping the legal technology landscape.

• Prepare and structure datasets for development, testing, and quality evaluation of AI features to ensure robust model performance and reliability
• Implement AI performance metrics that support data-driven prioritization of iterative improvements and product enhancements
• Translate prototypes into production-ready code under guidance from senior engineers, ensuring quality, maintainability, and scalability
• Participate in agile development processes, including sprint planning, code reviews, and team ceremonies to deliver features collaboratively and efficiently
• Demonstrate a growth mindset by actively learning new tools, frameworks, and best practices in AI/ML

• 2+ years of experience in software engineering; at least 1 year focused on AI/ML
• Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, Tensor Flow)
• Strong understanding of machine learning principles, evaluation, and system design
• Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications
• Experience integrating AI models into production systems using APIs and data pipelines
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
• Excellent problem-solving skills and ability to work independently in a fast-paced environment
• Strong communication skills and experience working in cross-functional teams
• Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
• Knowledge of vector databases, embeddings, or search-based AI.
• Domain knowledge in legal, tax, or accounting
• A portfolio of projects demonstrating creativity and skill building solutions with LLMs
• Experience with data preparation and manipulation using tools and libraries for structuring datasets for machine learning applications
• Strong collaboration skills with the ability to work effectively in agile teams, participate in code reviews, and contribute to team success
• Passion for continuous learning and eagerness to expand your knowledge in AI/ML technologies, tools, and best practices
• Attention to quality and detail with a commitment to writing maintainable code and implementing effective testing strategies

• 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 My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
• Industry Competitive Benefits:
  We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture:
  Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values:
  Obsess over our Customers, Compete to Win, Challenge (Y) our Thinking, Act Fast / Learn Fast, and…