Lead​/Software Engineer – AI

Lead/Staff Software Engineer, AI

Are you ready to architect cutting-edge AI systems that empower legal professionals to work smarter and faster? Join Thomson Reuters Practical Law—a trusted partner to legal practitioners worldwide—and help shape the future of AI‑driven legal solutions.

As a Staff Software Engineer – AI on the Practical Law team, you’ll be at the forefront of innovation, designing and deploying sophisticated AI systems that transform how legal professionals access and apply critical knowledge. You’ll work with a collaborative, forward‑thinking team that values technical excellence, ethical AI practices, and delivering real impact to customers who rely on our products every day.

This role offers the opportunity to explore emerging technologies, solve complex technical challenges, and contribute to products that set the standard in the legal technology industry.

• Architect and implement complex AI systems
  , including multi‑component pipelines, Retrieval‑Augmented Generation (RAG) systems, and custom AI agents that power next‑generation legal solutions
• Ensure system quality and compliance by implementing comprehensive testing frameworks, monitoring tools, and ethical AI practices that maintain the highest standards of reliability and trustworthiness
• Proactively identify issues and risks
  , make data‑driven recommendations, and take corrective action to optimize system performance and mitigate potential challenges
• Collaborate with cross‑functional teams including Product, UX, and Science to align AI features with product goals and translate functional requirements into robust technical specifications
• Conduct proof‑of‑concepts (POCs) to evaluate emerging technologies and explore the feasibility of AI solutions for innovative use cases
• Analyze existing systems and recommend improvements to enhance operational efficiency, scalability, and overall system architecture

• 7+ years of experience in software engineering; at least 3 years focused on AI/ML
• Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, Tensor Flow)
• Strong understanding of AI/ML systems including experience with RAG architectures, AI agents, or multi‑component AI pipelines
• Proven ability to collaborate across disciplines, working effectively with product managers, designers, and data scientists to deliver integrated solutions
• 2‑4 years of hands‑on Python experience building production‑quality applications, writing clean and testable code, and working with common libraries and frameworks
• 2‑4 years of JavaScript/Type Script experience building production applications in React and Angular, including state management and modern front‑end development practices
• 2‑4 years of AWS experience designing, deploying, and operating scalable cloud services using core AWS offerings such as Lambda, S3, EC2, and related tooling
• 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 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

• 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…