AI & Data Applications Engineer — Data, AI & Automation

Summary:

To support our extraordinary teams who build great products and contribute to our growthwerelooking to add anAIDeveloper Applicationlocatedin Guadalajara North Campus.We are seeking anAI Applications Engineerto design build andmaintainAI-powered applications that automate workflows and unlock business insights across the organization.

This role sits within the Business Intelligence function and combines AI application development with data engineering and reporting responsibilities ensuring continuity of existing systems while accelerating adoption of modern AI capabilities.

The ideal candidate is an engineer who enjoys building real systems working close to data and applying AI to solve meaningful business problems in a collaborative fast-paced environment.

What a typical day looks like:

• Design and develop AI-powered applicationsthat automate business workflows and enhance data accessibility.

• Build andmaintaininternal tools that integrate AI capabilitieswith enterprise systems databases and APIs.

• Maintain and extend existing internal applications including three production systemsone of them legacy and undocumentedand two Ruby applications connected to Snowflake and other enterprise databases.

• Work within Linux-based environmentsto deploymaintain and troubleshoot applications.

• Connect to and manage remote systemsusing secure protocols.

• Reverse engineer existing systems when documentation is limited andidentifyopportunities for improvement.

• Collaboratewith the Business Intelligence team analysts and business stakeholders to translate business needs into technical solutions.

• Communicate technical conceptsclearly to both technical and non-technical audiences.

• Continuously explore new AI toolsframeworks and approaches to improve productivity and solution capabilities.

• Engineering degreerequired.Candidates must have formal engineering training witha strong foundationin analytical thinking mathematics and structured problem solving.

• Demonstrated ability to break down complex technical problems and design practical solutions with a clear understanding of the business implications of those solutions.

• Fluent spoken and written Englishrequired.Candidates must be comfortable discussing technical and business topics with stakeholders across the organization including senior leadership.

The experiencewerelooking to add to our team (required):

• English Intermediate Advanced.

• Typically requires aBachelorsdegree or equivalent systems experience.

• Engineering degree required (Computer Science Software Engineering Data Engineering or related field).
• Strong analytical mindset with demonstrated ability to break down complex problems and deliver practical solutions.
• Ability to understand business context and design solutions with clear business impact.
• Strong communication skills with ability to interact effectively with both technical and business stakeholders.
• Fluent spoken and written English required.

• Hands-on experience building AI-powered applications automation workflows or intelligent tools.
• Experience working with LLM APIs generative AI platforms or AI-assisted development tools.
• Familiarity with tools such as:
  • Copilot Studio
  • Cortex AI
  • Workflow automation tools (e.g. N8N or similar)
• Ability to design and implement AI-driven solutions integrating multiple systems and data sources.

Data & BI Engineering

• Strong SQL expertise:
  • Writing and optimizing complex queries
  • Working with stored procedures views and large datasets
• Experience developing and maintaining ETL processes and data pipelines (SSIS or similar tools).
• Experience with enterprise reporting tools (SSRS or comparable platforms).
• Understanding of data modeling concepts data flows and enterprise data environments.
• Experience preparing structured data for analytics reporting and AI use cases.

Software Engineering & Systems

• Experience building applications using Python Ruby or similar modern programming languages.
• Experience integrating systems via APIs and enterprise data platforms.
• Strong working knowledge of Linux environments for development and deployment.
• Experience managing remote systems and servers using SSH.
• Familiarity with platforms such as Snowflake or similar data stacks is a plus.

Whatyoullreceive for thegreat workyou provide:

• Competitive Salary

• Life & Medical Insurance

• Christmas Bonus

• Food Coupons

• Saving Fund.

• Life Insurance

HS115