Junior AI Engineer: Build AI Tools & Automation (Hybrid)

Clarios; Monterrey; Hybrid; MXN 180,000 - 240,000; Full time

Job summary

Clarios is seeking a Jr. AI Engineer in Monterrey to join the Engineering AI team within CT CTO Mexico.

You will support development, testing, and continuous improvement of AI solutions that help engineers work faster and deliver higher-quality results. You will work on AI solution development, evaluation, automation, and documentation, collaborating with data engineers and AI/engineering stakeholders to enable responsible AI practices and scalable tooling.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electronics, Mechatronics, Data Science, or related field.
• 0-2 years of experience in software development, AI, ML, or data science; internships considered.
• Strong Python programming and basic knowledge of Git, SQL, APIs, and software practices.
• Familiarity with LLMs, Prompt Engineering, RAG, or AI Agents; testing concepts.

Responsibilities

• Develop and enhance AI prototype components, prompts, workflows, and simple UIs.
• Create, maintain test datasets; evaluate solution performance.
• Develop automation scripts to improve engineering workflows.
• Create user guides, release notes, and documentation; support users.

Skills

Python

Git

SQL

APIs

LLMs

Prompt engineering

RAG

AI agents

Software testing

Data analysis

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Computer Engineering

Bachelor’s degree in Electronics

Bachelor’s degree in Mechatronics

Bachelor’s degree in Data Science

Recent graduates welcome

Tools

Git

Azure

Power BI

Microsoft 365

ASPICE

Job description

Clarios is seeking a Jr. AI Engineer in Monterrey to join the Engineering AI team within CT CTO Mexico.

You will support development, testing, and continuous improvement of AI solutions that help engineers work faster and deliver higher-quality results. You will work on AI solution development, evaluation, automation, and documentation, collaborating with data engineers and AI/engineering stakeholders to enable responsible AI practices and scalable tooling.