This position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position. We are seeking a motivated and detail-oriented Artificial Intelligence (AI) tools development Intern to join our AI Community of Practice team. In this role, you will support the design, development, and validation of AI tools, working closely with experienced engineers throughout the tool development lifecycle. This internship offers hands-on exposure to real-world AI tools design challenges in a collaborative and fast-paced engineering environment. Examples of AI tools include internal GenAI assistants, RAG-based knowledge tools, workflow automation agents, and AI-powered validation utilities. Key Responsibilities: Explore needs for AI tools and collect inputs/requirements from key stakeholders Document AI tools design requirements and deployment plans. Actively collaborate in the design and development of AI tools under the guidance of senior engineers. Participate in the deployment and bring-up of AI tools, and during debugging and validation phases. Follow established engineering processes, quality standards, and safety guidelines. Behavioral Traits: Eagerness to learn and apply new AI concepts and tools. Strong sense of ownership and accountability for assigned tasks. Ability to work effectively in a team-oriented environment. Proactive, organized, and able to manage multiple tasks. Open to feedback and continuous improvement. What You Will Learn: Practical experience in AI tools development (Machine Learning and GenAI) and deployment processes. Hands-on exposure to real AI tools and use cases. Opportunity to see your AI tools adopted by engineering teams and showcased within the AI Community of Practice. How to collaborate within cross-functional engineering teams. Industry best practices for documentation and quality.
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences, and/or schoolwork/classes/research.
Minimum Qualifications:
Pursuing a Bachelor's in Electronics or Electrical Engineering. Computer Engineering or equivalent.
3+ months of experience in software development.
Mid to Advanced English level.
Basic knowledge of Machine Learning and Generative AI concepts (e.g., LLMs, prompt engineering, embeddings, RAG).
Basic Programming skills in Python: scripts, functions, data handling
Must have unrestricted, permanent right to work in Mexico (this role is not eligible for visa or immigration sponsorship).
Preferred Qualifications:
Knowledge of Computer Architecture and/or Intel products.
Experience with Python for ML/AI (e.g., notebooks, APIs, model integration)
Knowledge of MCP (Model Context Protocol) or experience building AI agents (e.g., tool-using agents, multi-step workflows)
Nice to have:
Experience using Git/GitHub
Familiarity with REST APIs
Exposure to cloud or internal AI platforms
Experience documenting technical designs
A candidate who accepts an offer of employment in Mexico is required to present their own personal identification information and numbers for the following: Mexican Security Number (NSS), Tax Identification Number (RFC) and CURP identification number.
Student / Intern
Shift 1 (Mexico)
Mexico, Guadalajara
At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
