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Thomson Reuters

Legal, financial data, and media services

Software Engineer - AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • The role requires 1–3+ years of professional software development experience.
  • Working knowledge of Python and experience with AWS, Azure, or Google Cloud Platform services are required.
  • The candidate must have a solid understanding of RESTful API design, distributed systems, and microservices architecture.
  • Experience working with SQL and NoSQL databases is required.
  • The candidate must demonstrate strong debugging skills and the ability to deliver production-ready, highly reliable systems.
  • The candidate must be comfortable working in fast-paced, iterative environments and communicate across functions.
  • The candidate must be able to identify something they taught themselves and shipped, and explain their learning process.

Responsibilities

  • Build and ship AI agentic features end to end, taking features from written requirements through design, implementation, code review, and production; work with moderate guidance and own straightforward projects.
  • Design and build backend services using Python, FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, contributing to agentic workflows, large language model orchestration, and content pipelines.
  • Integrate with large language model providers such as OpenAI and Anthropic, and implement orchestration, routing, error handling, guardrails, telemetry, and observability to support performance and reliability.
  • Strengthen continuous integration and continuous delivery pipelines and DevOps automation for stable, cloud-native development workflows.
  • Use AI coding and testing tools in personal work and help build AI capabilities into the product; translate business requirements into solutions using AI where appropriate.
  • Read unfamiliar code, perform root cause analysis, troubleshoot production behavior, and act on issues raised by automated code quality inspection.
  • Contribute to automated testing strategy and continuous integration and delivery pipelines, treating test coverage as part of feature delivery.
  • Participate in design discussions, agile ceremonies, and cross-team work with Product, Design, and Labs teams.
  • Share learning, support colleagues with previously solved problems, and contribute to a culture of learning.

Desired Qualifications

  • A Bachelor of Arts or Bachelor of Science degree in Computer Science, or equivalent practical experience.
  • Experience optimizing backend system performance, including monitoring, profiling, and tuning for scale.
  • Hands-on experience building AI-powered product features, ideally agentic AI workflows with multi-step reasoning, tool or API orchestration, large language model APIs, retrieval-augmented generation pipelines, Claude Agent SDK, or AgentCore at runtime.
  • Experience with agentic user interfaces, including SSE or AG-UI streaming semantics, TypeScript, or React.
  • Experience with Datadog logs, real-user monitoring, or traces; CloudWatch Log Insights; or Braintrust.
  • Familiarity with AI and machine learning infrastructure, including vector databases, model serving, and cost or latency optimization for large-language-model-powered features.
  • Experience with testing, automation, and operational robustness.
  • Prior experience working on products for legal, compliance, or other regulated professional domains.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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