AI Software Engineer-Planta Ford Irapuato
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Before you apply
LocationIrapuato, GUA, Mexico
Typefull-time
Company size10,000+ people
First seenNov 3, 2026 · 4d ago
Verified live8h ago
At a glanceSummarised by Seekless from the posting.
Design, develop, implement, and maintain AI-enabled software applications
Work closely with AI Architects, Data Engineers, Manufacturing Teams, and Digital Transformation leaders
Develop AI-enabled software applications and intelligent business solutions
Build and maintain Machine Learning and data processing pipelines
Develop APIs and backend services that support AI products and digital applications
Participate in software architecture implementation following engineering standards and best practices
Support the development, training, testing, and deployment of Machine Learning models
Assist in implementing Generative AI solutions and Large Language Model (LLM) use cases
Monitor model performance, accuracy, and reliability in production environments
Support MLOps processes including model deployment, monitoring, and lifecycle management
Integrate manufacturing, operational, and enterprise data sources
Perform data preprocessing, cleansing, validation, and transformation activities
Maintain data quality, consistency, and accessibility across platforms
Support business intelligence, analytics, and dashboard development initiatives
Collaborate with AI Architects, Data Engineers, Manufacturing Teams, and Business Stakeholders
Participate in Agile ceremonies, sprint planning, and technical reviews
Contribute to digital transformation and continuous improvement initiatives
Support troubleshooting, incident resolution, and software maintenance activities
Research emerging AI technologies, frameworks, and industry trends
Support proof-of-concept (PoC) and pilot projects involving AI and advanced analytics
Recommend software, data, and process improvements that enhance operational performance
Skills
Machine Learning
Generative AI
cloud technologies
enterprise data platforms
APIs
Large Language Model (LLM)
Agile
About the role
The AI Software Engineer is responsible for designing, developing, implementing, and
maintaining AI-enabled software applications that support business and manufacturing
operations. The position works closely with AI Architects, Data Engineers, Manufacturing
Teams, and Digital Transformation leaders to build intelligent solutions using Machine
Learning, Generative AI, cloud technologies, and enterprise data platforms.
This role contributes to the development of scalable AI software products, data pipelines,
APIs, and predictive models while supporting deployment, monitoring, and continuous
improvement activities. The AI Software Engineer serves as a key contributor to Industry 5.0
and Industry 6.0 initiatives, helping transform operational data into actionable business
insights through innovative AI-driven solutions.
Main Responsibilities
AI Software Development
Develop AI-enabled software applications and intelligent business solutions.
Build and maintain Machine Learning and data processing pipelines.
Develop APIs and backend services that support AI products and digital
applications.
Participate in software architecture implementation following engineering
standards and best practices.
AI Model Development & Deployment
Support the development, training, testing, and deployment of Machine Learning
models.
Assist in implementing Generative AI solutions and Large Language Model (LLM) use
cases.
Monitor model performance, accuracy, and reliability in production environments.
Support MLOps processes including model deployment, monitoring, and lifecycle
management.
Data Integration & Analytics
Integrate manufacturing, operational, and enterprise data sources.
Perform data preprocessing, cleansing, validation, and transformation activities.
Maintain data quality, consistency, and accessibility across platforms.
Support business intelligence, analytics, and dashboard development initiatives.
Collaboration & Continuous Improvement
Collaborate with AI Architects, Data Engineers, Manufacturing Teams, and Business
Stakeholders.
Participate in Agile ceremonies, sprint planning, and technical reviews.
Contribute to digital transformation and continuous improvement initiatives.
Support troubleshooting, incident resolution, and software maintenance activities.
Innovation
Research emerging AI technologies, frameworks, and industry trends.
Support proof-of-concept (PoC) and pilot projects involving AI and advanced
analytics.
Recommend software, data, and process improvements that enhance operational
performance.