3 days ago
Monterrey, MexicoEntry Level
Responsibilities
- Develop and enhance AI prototype components, including prompts, retrieval workflows, integrations, and simple user interfaces.
- Reuse and extend AI frameworks and templates while following coding and version-control standards.
- Implement enhancements and fixes based on user feedback and testing results.
- Create test datasets, execute repeatable evaluations, and measure AI solution accuracy, usefulness, and reliability.
- Track user feedback and AI adoption metrics to support continuous improvement.
- Partner with Data Engineers on data preparation, validation, and reporting.
- Develop automation scripts for engineering workflows, prototyping, testing, reporting, and document quality checks.
- Create user guides, release notes, solution documentation, and known-limitation records.
- Support engineering teams in using AI solutions and escalate technical issues when appropriate.
- Apply responsible AI, information security, and data governance requirements.
- Collaborate with AI Engineers, Data Engineers, and global engineering stakeholders.
- Participate in engineering reviews, feedback sessions, demonstrations, and pilot deployments.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electronics, Mechatronics, Data Science, or a related field.
- 0–2 years of experience in software development, AI, machine learning, or data science; internship, academic, and personal project experience will be considered.
- Strong Python programming skills.
- Basic knowledge of Git, SQL, APIs, and software development practices.
- Experience or exposure to Large Language Models, prompt engineering, Retrieval-Augmented Generation, or AI agents.
- Understanding of software testing concepts, AI integration tools, and object-oriented programming.
- Knowledge of UML.
- Fluent Spanish and English proficiency at B2 level or higher.
- Familiarity with Microsoft 365, Power BI, or Azure is preferred.
- Familiarity with ASPICE or engineering quality standards is a plus.
- Interest in automotive technologies, electrification, battery systems, and engineering processes.
Benefits
- Hybrid work model in Monterrey based on business and team requirements.
- Occasional travel for team collaboration, engineering workshops, or business meetings.
- Regular collaboration with global CTO, engineering, and AI stakeholders.
- Meaningful career growth and a progression path toward AI Engineer and advanced technical roles.
- Exposure to emerging AI technologies, large language models, and enterprise-scale innovation initiatives.
- Collaborative and inclusive environment emphasizing diverse perspectives and continuous learning.
- Mentorship from experienced AI and engineering professionals.
- Opportunities to contribute to global projects affecting engineering teams worldwide.
- Recognition for innovation, initiative, and business impact.
Categories
About Clarios
Clarios manufactures low-voltage automotive batteries and energy-storage solutions for vehicle OEMs and the aftermarket, and is expanding into supercapacitors for data center and grid uses. The privately held company, headquartered in Glendale, Wisconsin, produces more than 150 million batteries a year, with products installed in roughly one in three vehicles worldwide. Its portfolio spans conventional flooded, AGM, and advanced 12‑volt systems supporting start‑stop, electrified, and auxiliary power needs.