Jr. AI Engineer

The Role

The Jr. AI Engineer is part of the Engineering AI team within CT CTO Mexico and supports the development, testing, and continuous improvement of AI solutions that help engineers work faster and deliver higher-quality results. This role contributes to Clarios' AI transformation strategy by assisting in the creation of scalable AI tools, automation capabilities, and evaluation frameworks that improve engineering productivity and innovation.

What You'll Do (Impact Areas)

AI Solution Development

• •Develop and enhance AI prototype components, including prompts, retrieval workflows, integrations, and simple user interfaces.
• •Reuse and extend existing AI frameworks and templates following coding and version control standards.
• •Implement enhancements and fixes based on user feedback and testing results.
• •Participate in demonstrations and pilot deployments with engineering teams.

Testing & Solution Evaluation

• •Create and maintain test datasets to validate AI solution performance.
• •Execute repeatable evaluations and measure solution accuracy, usefulness, and reliability.
• •Track user feedback and AI adoption metrics to support continuous improvement.
• •Partner with Data Engineers to support data preparation, validation, and reporting activities.

Automation & Engineering Efficiency

• •Develop automation scripts to improve engineering workflows and document quality checks.
• •Automate repetitive activities related to prototyping, testing, and reporting.
• •Maintain tested, documented, and version-controlled automation assets.

Documentation & User Enablement

• •Create user guides, release notes, solution documentation, and known limitation records.
• •Support engineering teams in effectively utilizing AI solutions.
• •Escalate technical issues when appropriate and maintain solution traceability.
• •Ensure compliance with responsible AI, information security, and data governance requirements.

Collaboration & Continuous Learning

• •Collaborate closely with AI Engineers, Data Engineers, and engineering stakeholders.
• •Participate in engineering reviews and feedback sessions.
• •Complete development plans focused on AI engineering, software quality, and engineering processes.
• •Share learnings and propose innovative ideas for future AI initiatives.

What Success Looks Like

Success in this role will be measured through a combination of technical execution, operational excellence, and professional growth:

Key Performance Indicators (KPIs)

• •Assigned AI development tasks delivered on time and approved through technical reviews.
• •AI solutions supported with current test datasets and documented evaluation results.
• •Automation scripts successfully implemented and adopted by users.
• •High-quality code demonstrated through positive reviews, adequate test coverage, and low defect rates.
• •Timely support and resolution of user inquiries and issues.
• •Complete and up-to-date documentation for each solution release.

Strategic Outcomes

• •Increased adoption and trust of AI tools within engineering teams.
• •Improved productivity through automation and AI-enabled workflows.
• •Reliable and scalable testing processes that support solution quality and continuous improvement.

Behavioral Indicators

• •Demonstrates ownership and accountability for assigned work.
• •Proactively seeks opportunities to learn and improve.
• •Builds credibility through responsiveness, collaboration, and quality execution.
• •Consistently applies responsible AI and data governance practices.

Core Competencies

Technical Competencies

• •AI solution development fundamentals
• •Prompt engineering and LLM application knowledge
• •Python programming
• •Automation and scripting
• •Software testing principles
• •Data analysis and evaluation methodologies
• •Version control and Git practices

Professional Competencies

• •Structured problem-solving
• •Attention to detail and quality focus
• •Learning agility and continuous improvement mindset
• •Project execution and task management
• •Collaboration and teamwork
• •Written and verbal communication
• •Service orientation and customer focus
• •Integrity and responsible AI usage

What You Bring (Qualifications)

Education

• •Bachelor's degree in Computer Science, Computer Engineering, Electronics, Mechatronics, Data Science, or a related field.
• •Recent graduates are encouraged to apply.

Experience

• •0-2 years of experience in software development, AI, machine learning, or data science.
• •Internship, academic, and personal project experience will be considered.

Technical Skills

• •Strong Python programming skills.
• •Basic knowledge of Git, SQL, APIs, and software development practices.
• •Experience or exposure to Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), or AI Agents.
• •Understanding of software testing concepts.
• •Familiarity with AI integration tools and object-oriented programming concepts.
• •Knowledge of UML.
• •Experience with Microsoft 365, Power BI, or Azure is preferred.
• •Familiarity with ASPICE or engineering quality standards is a plus.

Languages

• •Fluent Spanish.
• •English proficiency at B2 level or higher.

Industry Knowledge

Interest in automotive technologies, electrification, battery systems, and engineering processes.

Work Model & Travel

• •Location: Monterrey, supporting global CTO organizations.
• •Work Arrangement: Hybrid work model based on business and team requirements.
• •Travel: Occasional travel may be required for team collaboration, engineering workshops, or business meetings.
• •Global Exposure: Regular collaboration with global engineering and AI stakeholders.

Our Commitment to You

At Clarios, you'll have the opportunity to help shape how AI transforms engineering while building hands-on experience with cutting-edge technologies and real-world business challenges.

We are committed to providing:

• •Meaningful career growth and a clear progression path toward AI Engineer and advanced technical roles.
• •Exposure to emerging AI technologies, large language models, and enterprise-scale innovation initiatives.
• •A collaborative and inclusive environment that values diverse perspectives and continuous learning.
• •Mentorship from experienced AI and engineering professionals.
• •Opportunities to contribute to global projects that impact engineering teams worldwide.
• •Recognition for innovation, initiative, and business impact.
• •A culture built on integrity, responsible AI practices, and continuous improvement.

About Clarios:

Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).

To All Recruitment Agencies : Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

• Equal Employment Opportunity:
• Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with