Lead Software Engineer – AI

Thomson Reuters

Lead Software Engineer AI responsible for architecting and implementing backend systems for AI products at Thomson Reuters. Collaborating with teams to integrate reliable AI solutions.

Posted 7/7/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Architect backend systems that power AI-based products: Design and implement scalable backend services that enable AI-driven capabilities, including APIs, orchestration layers, and data pipelines that connect AI models to real-world product workflows.
Build reliable integration layers for LLM and AI services: Develop backend systems that integrate with large language models (LLMs) and other AI services, ensuring robust request handling, prompt orchestration, observability, and the necessary safeguards for production-grade AI systems.
Design distributed systems that scale with AI workloads: Architect microservices and event-driven systems capable of handling asynchronous workloads, model inference pipelines, and high-throughput data processing.
Establish technical standards for backend architecture and reliability: Lead by example with high-quality, maintainable code, setting standards for service design, API contracts, testing, and observability across the engineering organization.
Advocate AI-driven development practices: Leverage modern AI development tools to improve engineering velocity, ensuring that AI-assisted code and workflows maintain high standards of quality, security, and maintainability.
Collaborate across engineering and product teams: Work closely with frontend engineers, AI researchers, product managers, and platform teams to design backend systems that enable integrated, AI-powered product experiences.
Mentor engineers and raise engineering quality: Provide technical guidance through code reviews, architecture discussions, and mentorship, helping engineers grow while improving overall engineering standards.
Treat technical debt as strategic improvement opportunities: Continuously improve system architecture, reliability, and developer experience by proactively identifying areas for refactoring, automation, and platform enhancements.

Requirements

What you’ll need

Advanced/Fluent English, due to daily use with part of the global team.
Strong experience building production backend systems using Python, C# or similar backend technologies.
Expertise in RESTful API design.
Experience operating backend services in production environments.
Experience designing microservice architectures.
Familiarity with asynchronous processing and messaging systems.
Understanding of system scalability, fault tolerance, and service reliability.
Hands-on experience building systems on AWS or similar cloud platforms.
Understanding of monitoring, observability, and operational debugging in production systems.
Experience building applications that integrate LLM or AI services.
Familiarity with production considerations such as latency and error handling in AI-based systems.
Experience using AI tools such as Claude Code, Cursor, and Codex in the software development lifecycle.

Benefits

Comp & perks

Hybrid Work Model: We adopt a hybrid and flexible work environment (2–3 days per week in the office, depending on the role) for office-based positions, ensuring a cohesive experience both digitally and in person.
Flexibility and Work–Life Balance: "Flex My Way" consists of a set of policies designed to help manage personal and professional responsibilities—whether caring for family, participating in community activities, or taking time for rest and renewal. These policies build on our flexible work approach, allowing employees to work from anywhere for up to 8 weeks per year, promoting an optimal balance between work and personal commitments.
Professional Development and Growth: We foster a culture of continuous learning and skills development to prepare our talent for future challenges and deliver real-world solutions. Our "Grow My Way" program and skills-focused approach ensure you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Competitive Industry Benefits: We offer comprehensive benefits packages including medical and dental coverage, two company mental health days per year, performance incentive programs, and resources for mental, physical, and financial well-being.
Culture: Globally recognized for inclusion and belonging, flexibility, and work–life balance. We live our values: customer obsession, competing to win, challenging our thinking, acting fast and learning fast, and believing we are stronger together.
Social Impact: Make an impact in your community through our Social Impact Institute. We offer all employees two paid volunteering days per year and opportunities to engage in pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

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Hard Skills & Tools

Backend System ArchitectureAsynchronous ProcessingFault ToleranceService ReliabilityMonitoring and ObservabilityOperational DebuggingProduction Environment ExperienceData Pipeline DesignEvent-Driven SystemsAI Tools Utilization

Soft Skills

MentorshipCollaborationTechnical Guidance