Staff AI Engineer – Legal Tech & Agentic Systems

Thomson Reuters 

Ciudad de México

Hybrid

MXN 1,000,000 - 2,000,000

Full time

3 days ago
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Benefits offered by this job

Hybrid work model
Career development & growth programs
Mental health days & wellbeing

Job summary

Thomson Reuters is seeking a Lead Software Engineer AI (Staff Engineer AI) to join the CoCounsel team in a hybrid role in Mexico City. You will guide the creation of agentic AI features for legal professionals, directing front- and back-end engineers to deliver scalable, production-grade capabilities.

You will architect AI-powered workflows, orchestrate LLM integrations, and ensure robust testing, security, and observability.

Qualifications

  • 7+ years of software engineering with 2+ years in technical leadership
  • 3+ years building scalable cloud applications and AI-enabled products
  • Strong proficiency in Python and backend services
  • Experience delivering production AI systems in enterprise environments

Responsibilities

  • Build and architect AI Agentic driven systems with real-time interactions
  • Lead technical strategy and oversee implementation and rollout practices
  • Provide senior technical leadership; mentor engineers
  • Ensure quality, security, and observability for AI systems
  • Collaborate with Labs, product, and design teams to deliver scalable features
  • Integrate with major LLM providers and strengthen CI/CD pipelines

Skills

Python
FastAPI
PostgreSQL
Distributed systems
Cloud services (AWS/Azure)
CI/CD pipelines
Architectural design
LLM integration

Education

BA/BS in Computer Science or equivalent

Tools

AG-UI protocol
Agent SDKs
Datadog
CloudWatch
CodePipeline / GitHub Actions / GitLab CI

Job description

Thomson Reuters is seeking a Lead Software Engineer AI (Staff Engineer AI) to join the CoCounsel team in a hybrid role in Mexico City. You will guide the creation of agentic AI features for legal professionals, directing front- and back-end engineers to deliver scalable, production-grade capabilities.

You will architect AI-powered workflows, orchestrate LLM integrations, and ensure robust testing, security, and observability.

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