Senior AI-Driven Development Engineer (MXT)

Tyson Foods, Inc.

Torreón

On-site

MXN 1,000,000 - 1,700,000

Full time

11 days ago

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Job summary

Tyson Foods, Inc. in Torreón, Mexico, seeks a Senior Development Engineer to lead software projects spanning frontend, backend, data pipelines, and testing architectures. You will establish engineering best practices, mentor juniors, and guide AI-assisted development across the stack.

Responsibilities include designing scalable data solutions, setting up testing and CI/CD pipelines, and coordinating with stakeholders. The role requires strong programming, cloud, and data governance capabilities.

Qualifications

  • Education: Bachelor’s, Master’s Degree, or significant amount of relevant experience.
  • Experience: 3+ years of relevant and practical experience.

Responsibilities

  • Help design software, integration, data, and testing architecture; deliver high-complexity tasks across all skill dimensions as part of a team.
  • Define and encode engineering standards into AI coding agents; establish prompt templates, review criteria, and guardrails for AI-assisted development.
  • Create and maintain prompt templates and agent workflows that enable junior developers to operate across the entire stack; review and improve the quality of AI-generated output at an enterprise level.

Skills

Programming
Design patterns
Data Engineering
Infrastructure as Code
Version Control/DevOps/CI-CD
AI agent configuration
Technical Writing
Analysis

Education

Bachelor’s or Master’s Degree or significant experience

Tools

AWS
Azure
Google Cloud

Job description

Tyson Foods, Inc. in Torreón, Mexico, seeks a Senior Development Engineer to lead software projects spanning frontend, backend, data pipelines, and testing architectures. You will establish engineering best practices, mentor juniors, and guide AI-assisted development across the stack.

Responsibilities include designing scalable data solutions, setting up testing and CI/CD pipelines, and coordinating with stakeholders. The role requires strong programming, cloud, and data governance capabilities.

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