2 publicaciones de empleo destacadas de engineering latam en ciudad de méxico, dif (¡Están contratando!)

Talent solutions Intern
Amazon Web Services Mexico S. de R.L. de C.V. - C68 —Ciudad de México, CDMX
- Bilingüe
- Microsoft Excel
- Informática
10h
QA Engineer - CHI
Stefanini Latam —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
13h

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Talent solutions Intern

Amazon Web Services Mexico S. de R.L. de C.V. - C68 -
Ciudad de México, CDMX

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Información del empleo

Hace 10 horas

Cualificaciones

Bilingüe
Abastecimiento
Microsoft Excel
Informática
ATS
Inglés
Tableau
Licenciatura
Ingeniería industrial
Reclutamiento
Portugués
Recursos humanos
Visualización de datos
Python
Ciencia de los datos

Descripción completa del empleo

DESCRIPTION

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
We are looking for a Talent Solutions Intern supporting the LATAM Software Developer Engineer recruiting team by developing and optimizing AI-powered tools that enhance the sourcing lifecycle — from candidate identification and engagement to pipeline quality and delivery.
Interns at Amazon Mexico work 6hs a day (30hs/week) for 12 months (internship will be conducted between September 2026 and September 2027). . Participants will join Amazon as Interns at our CDMX Office in Mexico.

Key job responsibilities
Expanded duties blending sourcing fundamentals with AI innovation:

AI Prompt Engineering & Tool Development — Design, test, and refine AI prompts and tools that support sourcing workflows (candidate identification, Boolean logic generation, outreach messaging, candidate assessment/prescreening support)
Sourcing Process Optimization — Analyze existing sourcing methodologies and identify opportunities to reduce friction (fewer clicks, better UX, streamlined workflows) in tools used for candidate generation, engagement, and pipeline management
Data Analysis & Funnel Insights — Use candidate funnel metrics, response rates, and pipeline data to measure tool effectiveness, identify bottlenecks, and recommend improvements to sourcing strategies
Candidate Engagement Innovation — Develop AI-assisted solutions for candidate outreach, value proposition messaging, and engagement personalization that improve response rates and candidate experience
Stakeholder Communication & Collaboration — Partner with Sourcers, Recruiters, Hiring Managers, and cross-functional teams to validate pain points, gather requirements, and socialize solutions. Present findings and recommendations to stakeholders
Solution Validation & Scaling — Proactively raise findings to confirm genuine problems that multiple team members experience, then build and document scalable solutions for the broader recruiting org

BASIC QUALIFICATIONS

• Currently enrolled in a bachelor’s degree (Computer Science, Data Science, Industrial Engineering, Business Analytics, or related field) with a graduation conferral date between December 2024 and December 2027.
• Experience with AI/Large Language Model tools and prompt engineering; basic programming/scripting skills (Python preferred); analytical mindset with ability to interpret funnel/pipeline data; strong
• Written and verbal communication skills in English; comfortable working in ambiguous, fast-paced environments.

PREFERRED QUALIFICATIONS

Experience with data visualization or Business Intelligence tools (QuickSight, Tableau, Excel); passion for People related topics such as recruiting or HR. Knowledge of CRM/Applicant Tracking System systems (iCIMS, Beamery, LinkedIn Recruiter); prior internship or project work in process automation or UX improvement; bilingual (English + Portuguese and/or Spanish)
Experience building internal tools or automations; knowledge of Boolean search logic or sourcing methodologies

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Talent solutions Intern

QA Engineer - CHI

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