Senior Software Engineer, AI

Are you passionate about transforming the future of legal research with AI? Join Thomson Reuters' Global Westlaw Engineering organization and help shape the next generation of intelligent legal research solutions.

The Global Westlaw Engineering organization builds and operates the technology that powers Westlaw, the world’s leading legal research platform. Our teams develop innovative products and fiduciary-level, AI-based solutions that help legal professionals find trusted answers, uncover insights, and make confident decisions faster. Working across engineering, AI, data, platform, and product disciplines, we deliver secure, scalable, and intelligent experiences for customers around the globe.

As a Senior Software Engineer, AI, you will be a key technical contributor on a team that delivers the full-stack products, AI-enabled features, and services behind Westlaw’s next generation of experiences. You will build agentic legal research experiences and the retrieval services that ground them in trusted legal content.

Key Responsibilities

• Technical Ownership
• Design, build, and ship scalable user interfaces, backend services, and RESTful APIs.
• Build GenAI and LLM integrations, including agentic workflows, prompt and context design, and retrieval services grounded in trusted legal content.
• Contribute to architecture, engineering standards, coding practices, and code review, with a focus on deep technical ownership.
• Own your work through to reliable production operations, including build, deployment, monitoring, and reliability, supported by automation and CI/CD.
• Ensure delivery meets functional and non-functional requirements, including performance, scalability, reliability, security, and maintainability.
• Embed quality and security into every stage of development, with rigorous testing, secure coding practices, and continuous evaluation of quality.
• Design and build cloud-native solutions on AWS.
• Evaluate and integrate emerging tool protocols and retrieval patterns, with a clear understanding of production readiness and operational implications.
• Resolve critical production issues and drive root-cause fixes.

• AI-Enabled Engineering
• Use AI-assisted and agent-driven development daily, and monitor and optimize token consumption to balance productivity, quality, and cost.
• Deliver features using AI agents, applying clear task specification, careful human review of agent-generated code, and accountability for what ships.
• Apply AI across the engineering lifecycle, including code generation, code review, test automation, and quality evaluation, with guardrails for security, data handling, and responsible use.
• Help measure the impact of AI and agents on delivery speed, code quality, and defect rates.
• Build and apply evaluation practices for agents, including testing, benchmarking, and monitoring agent behavior.

• Collaboration and Mentorship
• Mentor and coach engineers, sharing knowledge in information retrieval, agentic system design, and AI-assisted development.
• Help shift team mindsets by modeling continuous learning and introducing new tools, practices, and ways of working.
• Partner with Product, Design, and cross-functional teams to translate requirements into well-designed solutions.
• Translate complex technical concepts and trade-offs into clear terms for stakeholders.

• Delivery
• Deliver solutions aligned with product roadmaps through incremental delivery, managing dependencies and tracking success metrics.
• Follow and help improve secure engineering processes for the team that builds and delivers our flagship legal research products.

• Continuous Learning
• Stay current with developments in AI, cloud computing, and software engineering, and bring them into the team’s practices.

Required Qualifications

• 5+ years of hands-on software engineering experience across front-end and back-end, building scalable web applications.
• A track record of shipping and operating production-grade full-stack systems at scale, including secure coding practices and reliability.
• Hands-on experience building with LLMs in production or in serious prototypes, such as RAG, prompt and context design, evaluation, or agent workflows, and daily use of AI coding tools.
• Experience working hands-on in a team that builds and uses AI agents, with strong practices for review, quality, and security.
• Clear understanding of RESTful API design principles.
• Strong proficiency in Python and in designing and building RESTful APIs.
• Working proficiency in React or a similar modern UI framework, and experience with TypeScript and Node.js.
• Strong knowledge of AWS architecture and services, with experience in DevOps, CI/CD pipelines, and infrastructure as code.
• Experience mentoring and supporting the growth of other engineers.
• Experience partnering with Product, Design, and cross-functional teams.
• Excellent communication skills, with the ability to give clear updates, provide direct feedback, and align stakeholders.
• Comfort operating in a fast-moving, ambiguous environment, making data-driven decisions as priorities evolve.
• A strategic mindset, with the ability to ensure technical decisions align with business goals.
• A Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

• Experience shipping AI-driven or agentic systems in production, such as LLM orchestration, RAG and information retrieval, agent frameworks, and tool protocols.
• Experience with agent evaluation, including testing, benchmarking, and monitoring agent behavior.
• Experience with Python frameworks such as Django, Flask, or FastAPI.
• Experience working across front-end, back-end, and AI engineering disciplines.
• A track record of helping teammates adopt new tools and ways of working.
• Exposure to legal or other regulated professional domains.
• AWS certifications, such as Solutions Architect or DevOps Engineer.

What's in it For You?

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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.
• 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.
• 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.
• Social Impact: Make an impact in your community with our Social Impact Institute.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.