Lead Product Engineer, Python

Thomson Reuters

Lead Product Engineer developing AI-driven software at Thomson Reuters. Innovating in a startup-like environment to enhance accounting workflows through automation and seamless orchestration.

Posted 6/30/2026full-timeMexico City • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

AWSDistributed SystemsPostgresPython

About the role

Key responsibilities & impact

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 work with top AI and software development experts, leveraging cutting-edge technology to build intelligent and scalable systems.
Design and implement backend services that power generative AI agents and orchestration systems.
Collaborate across functions to build robust services that support generative AI experiences.
Help to build out core AI interfaces such as Conversations, Workspaces, Grid, and Knowledge Base.
Lead teams of engineers, AI researchers, and product teams to translate AI capabilities into real-world applications, owning large projects or workstreams.
Foster a culture of experimentation and continuous improvement, exploring new AI technologies and methodologies.

Requirements

What you’ll need

Bachelors Degree in Computer Science, Computer Engineering, Related Field, or Equivalent Experience
6-8 years of experience in backend development, building scalable web services and APIs.
Strong Python skills, with experience in FastAPI, PostgreSQL, and AWS.
Experience in distributed systems, API and data model design.
Strong debugging skills and a track record of building production-grade software.
Strong communication and cross-functional collaboration abilities.
Passion for AI-driven software and new engineering paradigms.
A creative problem solver who enjoys exploring new technologies.
Dedicated to building high-quality, reliable AI-first systems.
Comfortable working in a fast-paced, evolving environment.

Benefits

Comp & perks

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 Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

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Hard Skills & Tools

Backend DevelopmentAPI DesignData Model DesignDebuggingProduction-Grade Software Development

Soft Skills

Strong CommunicationCross-Functional CollaborationCreative Problem Solving

Certifications

Bachelor's Degree in Computer Science