Software Engineer - AI

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

Software Engineer - AI
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.
As a Software Engineer - AI on the Practical Law team, you'll play a key role in bringing AI prototypes to life, preparing datasets that fuel intelligent features, and implementing metrics that drive continuous improvement. You'll work alongside talented engineers, data scientists, and product teams in a collaborative agile environment that values learning, quality code, and iterative development. This is an excellent opportunity for an engineer with a growth mindset who wants to deepen their expertise in AI/ML while working on products that make a meaningful impact for legal practitioners.

About the Role
In this opportunity as a Software Engineer - AI, you will:

• 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 and software engineering

About You
You're a fit for the role of Software Engineer - AI if you have the following required qualifications:

• 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, TensorFlow)​

• 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