Senior Full Stack Engineer, Materia

Are you excited about building AI-driven software that redefines how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with the stability and resources of a global leader. As a Senior Product Engineer, you will play a pivotal role in developing AI-powered systems that enhance accounting workflows through automation, intelligence, and seamless orchestration.

Innovate

in a Startup-Like Environment

Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll join a team of top engineers and AI developers, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Accounting team, formed from the recent acquisition of the startup Materia.

Create Impactful, AI-Driven Experiences

Own the full stack—from React interfaces to Python-based AI services and APIs. You'll architect and implement complete features that bring generative AI capabilities to life, alongside core product capabilities that streamline and modernize accounting workflows. Crafting both the user-facing experiences and the intelligent systems that power them, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows.

Collaborate

Across Functions

Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into complete solutions—beautiful interfaces backed by robust APIs and services—will be key to our product's success.

About the Role:

In this role as a Senior Full Stack Engineer, you will:

Develop

Own features from beginning to end, including ideation, working with cross-functional partners in product and UX, testing, launching, measuring impact, and iteration.

Design, build, and maintain generative AI products such as Conversations, Accounting Research, Ready to Advise, and Work spaces

Build engaging front-ends using Next.js, Type Script, and Tailwind CSS

Develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration

Identify bottlenecks and optimize for speed, scalability, and responsiveness across the full stack

Serve as a technical leader on full stack projects, scoping out timelines, guiding junior engineers, and collaborating with cross-functional partners

Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns

Champion code quality and best practices for both front-end and back-end development

Apply strong design sensibilities to deliver polished, accessible, and user‑centric interfaces.

Proactively collect feedback from end users and internal stakeholders, and iterate accordingly

About You:

You are a fit for a Senior Full Stack Engineer, if your background includes:

We're looking for engineers with hands‑on experience across the full stack. While you should be capable in both front‑end and back‑end development, we value depth—whether you're a front‑end engineer who's grown into back‑end work, or a back‑end engineer who's passionate about user experience.

Experience & Skills

4+ years building web applications at scale, with practical experience in both front-end and back-end development (we welcome engineers who are stronger in one area but capable in both)

Passion for UI/UX and product design—enjoy refining details that matter to users

Self-driven with a proactive approach to problem-solving

Experience building new products or features from 0 to 1 or from ideation to release

Excellent debugging skills and an eye for performance optimization

Strong communication and cross-functional collaboration abilities

Bonus Points Bachelor's degree in Computer Science, HCI, or related field

Experience working in a startup or similar fast‑paced setting.

Experience building Chatbot interfaces or other AI-native products

Familiarity with large language models (LLMs), AI agent design, and/or prompt engineering

Opinionated about testing methodologies, A/B testing,…