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Buscamos un/a AI Engineer con experiencia en el desarrollo e implementación de soluciones basadas en Inteligencia Artificial Generativa (GenAI). La persona ideal contará con experiencia trabajando con modelos de lenguaje (LLMs), prompting avanzado y desarrollo en Python, además de diseñar arquitecturas escalables y desplegar infraestructura como código en entornos cloud.
Este rol será responsable de construir soluciones productivas de IA, integrando modelos de lenguaje, desarrollando componentes en Python y asegurando implementaciones seguras, escalables y gobernadas en plataformas cloud.
🧩 Responsabilidades
Diseñar, desarrollar e implementar soluciones basadas en Inteligencia Artificial Generativa (GenAI).
Diseñar y probar prompts avanzados para obtener resultados precisos, relevantes y controlados.
Desarrollar soluciones en Python, incluyendo APIs, MCPs, pipelines e integraciones con modelos de lenguaje (LLMs).
Diseñar arquitecturas escalables, seguras y gobernadas para soluciones de IA.
Desplegar y administrar infraestructura como código (IaC) utilizando Terraform.
Implementar y gestionar soluciones en entornos cloud (AWS y/o Azure).
Colaborar con equipos multidisciplinarios para integrar soluciones de IA en ambientes productivos.
Garantizar buenas prácticas en el desarrollo, despliegue y mantenimiento de soluciones de Inteligencia Artificial.
+3 años de experiencia trabajando con modelos y plataformas de IA como OpenAI.
Experiencia con frameworks y librerías como:
Experiencia con infraestructura como código utilizando Terraform.
Experiencia trabajando en entornos cloud:
Tipo de contrato: Freelance (Contractor).
Contrato por 12 meses con posible renovación
Originally posted on Himalayas
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Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
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Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.