AI Builder Intern: Build Real AI Agents & Impact

Salesforce; Ciudad de México; Presencial; MXN 89.000 - 112.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Mentorship

Formal training

Health benefits

Descripción de la vacante

Salesforce is seeking AI Builder Interns in Mexico City for a 1-year, part-time internship starting November 2026. You will work alongside customer-facing teams to design, build, and test AI solutions for real-world use cases within a cross-functional pod.

You’ll receive dedicated mentorship, hands-on skill development, and exposure to live projects that impact Fortune 500 customers, while learning best practices in AI-powered development.

Formación

• Pursuing a degree in CS, Engineering, or Information Systems with a graduation date between Dec 2027 and Jun 2028.
• Demonstrated ability to build and debug real projects in at least one programming language.
• Strong communication and teamwork skills, with curiosity and a proactive mindset.

Responsabilidades

• Contribute to live projects by building AI agents and prompts inside Agentforce.
• Collaborate with cross functional teams and mentors to iterate on solutions.
• Explain ideas clearly in writing and speaking to non technical teammates.
• Take feedback constructively and show initiative in addressing challenges.

Conocimientos

Clear communication

Questioning mindset

Feedback oriented

Collaborative

Take initiative

Resilient & adaptable

Customer focus

Multicultural teamwork

Educación

Pursuing CS/Engineering/IS degree with graduation 2027–2028

Herramientas

APIs

LLMs / prompting basics

Descripción del empleo

Salesforce is seeking AI Builder Interns in Mexico City for a 1-year, part-time internship starting November 2026. You will work alongside customer-facing teams to design, build, and test AI solutions for real-world use cases within a cross-functional pod.

You’ll receive dedicated mentorship, hands-on skill development, and exposure to live projects that impact Fortune 500 customers, while learning best practices in AI-powered development.