AI Software Engineer-Planta Ford Irapuato
Builds and maintains AI-enabled software supporting Ford's manufacturing operations at the Irapuato plant: ML and data pipelines, Generative AI/LLM applications, APIs, and predictive models, with cloud deployment and MLOps monitoring. Works with AI architects, data engineers, and manufacturing teams on Industry 5.0/6.0 initiatives.
- Compensation
- Not disclosed
- Location
- Irapuato, GUA, Mexico
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Software Engineering, IT, AI, Data Science, or related field
- 3+ years of experience in software development, AI, ML, or related technical roles
- Experience developing cloud-based applications and enterprise software solutions
- Experience working with Python and AI/ML frameworks
- Experience integrating APIs, databases, and cloud services
- Basic understanding of DevOps and MLOps practices
- Expert in modern programming languages, clean code, SOLID principles, design patterns, and Git workflows
- LLM engineering: transformers, tokenization, context management, fine-tuning, inference optimization, open-source and commercial models
- AI application development: LLMs, prompt engineering, RAG architectures, embeddings, vector databases, AI agent frameworks
- Cloud deployment on AWS, Azure, or GCP using containers, Kubernetes, serverless, and managed databases
- MLOps/LLMOps: CI/CD pipelines, model lifecycle management, experiment tracking, automated evaluations, monitoring
- API and system integration via REST, GraphQL, gRPC, event-driven architectures, and messaging platforms
- Security practices: secure coding, OWASP, prompt injection protection, data privacy, access management
- Testing and evaluation: unit, integration, performance, AI workflow, and model evaluation incl. hallucination detection
Nice to have
- Certifications in AI, Cloud Technologies, Data Engineering, or Software Development
- Experience in manufacturing, Industry 5.0, or smart factory environments
Full description
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