Senior Front-End AI Engineer — Legal Tech (React/TS)

Thomson Reuters; Ciudad de México; Hybrid; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation

Mental Health Days off

Headspace app access

Tuition reimbursement

Job summary

Thomson Reuters in Mexico City is seeking a Senior Front-End Software Engineer to join the AI-enabled CoCounsel team in a hybrid role. You will lead the client architecture for streaming agent interactions from the React UI to production, building scalable front-end experiences for legal professionals.

You will collaborate with labs, product managers and designers, mentor engineers, and implement robust AI features with CI/CD pipelines and end-to-end testing to ensure reliability in dynamic

Qualifications

• 4+ years of front-end engineering experience with production React/TypeScript projects.
• Experience with agent-UI protocols and streaming UI concepts.
• Strong debugging skills and ability to deliver reliable production systems.

Responsibilities

• Build AI-powered front-end systems turning event streams into responsive interfaces.
• Shape front-end architecture with cross-functional teams.
• Productionize AI capabilities with CI/CD pipelines, testing, and observability.
• Collaborate with product managers and designers to deliver scalable features.
• Mentor engineers through code reviews and shared components.

Skills

React

TypeScript

SSE events

AgentUI protocols

CI/CD

Testing

Debugging

Cross-functional communication

Education

BA or BS in Computer Science or equivalent

Tools

Claude Agent SDK

AgentCore

GitHub Actions

GitLab CI

CodePipeline

Playwright

Datadog

Cloud services (AWS/Azure)

Job description

Thomson Reuters in Mexico City is seeking a Senior Front-End Software Engineer to join the AI-enabled CoCounsel team in a hybrid role. You will lead the client architecture for streaming agent interactions from the React UI to production, building scalable front-end experiences for legal professionals.

You will collaborate with labs, product managers and designers, mentor engineers, and implement robust AI features with CI/CD pipelines and end-to-end testing to ensure reliability in dynamic