Lead AI Backend Engineer — Hybrid, FastAPI & Scale

Reuters

Ciudad de México

Hybrid

MXN 1,200,000 - 2,000,000

Full time

10 days ago
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Benefits offered by this job

Hybrid Work Model
Career Growth Programs

Job summary

Thomson Reuters – Materia AI in Mexico City is seeking a Lead Software Engineer to architect and deliver AI-powered backend systems for accounting workflows. You will own end-to-end AI endeavors, building scalable services with Python, FastAPI, and PostgreSQL, collaborating across product, design, and AI research teams.

The role emphasizes hands-on backend leadership, API design, and AI orchestration with providers like OpenAI and Anthropic, with a hybrid work setup and opportunities to mentor

Qualifications

  • 6–8 years of backend development experience.
  • Strong Python skills with FastAPI and PostgreSQL.
  • Experience in distributed systems and API design.
  • Proven track record of production-grade software.
  • Interest in AI-driven software and new engineering paradigms.
  • Excellent cross-functional collaboration.

Responsibilities

  • Design and build backend for AI-native accounting products.
  • Develop services using Python, FastAPI, and PostgreSQL.
  • Implement AI orchestration integrating OpenAI and Anthropic.
  • Ensure secure, scalable, and performant AI systems.
  • Lead teams and mentor engineers.

Skills

Python backend
FastAPI
PostgreSQL
AWS
Distributed systems
API design
AI applications
Backend testing

Education

Bachelor's degree in CS/EE

Tools

OpenAI API
Anthropic API
Vector databases
LLM orchestration

Job description

Thomson Reuters – Materia AI in Mexico City is seeking a Lead Software Engineer to architect and deliver AI-powered backend systems for accounting workflows. You will own end-to-end AI endeavors, building scalable services with Python, FastAPI, and PostgreSQL, collaborating across product, design, and AI research teams.

The role emphasizes hands-on backend leadership, API design, and AI orchestration with providers like OpenAI and Anthropic, with a hybrid work setup and opportunities to mentor

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