AI Platform Engineer for Scalable GenAI & LLM Solutions

Jobgether; México; Presencial; MXN 1.204.404 - 1.548.520; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive health insurance

Food and meal vouchers

Paid time off including birthday leave

Parental leave policies

Continuous learning programs

Employee wellness programs

Recognition programs

Descripción de la vacante

Jobgether is seeking an AI Engineering Specialist based in Mexico. In this role, you'll develop AI platforms and frameworks to support scalable AI adoption, working with engineering and product teams to translate complex business requirements into production-ready technical architectures.

Excellent qualifications include strong software engineering skills in Python or Java, experience with cloud architectures, and a bachelor's degree in a related field. The role offers comprehensive health coverage and opportunities for continuous learning in cutting-edge AI technologies.

Formación

• Strong experience in software engineering using Python, Java, or similar programming languages.
• Experience building APIs, microservices, and distributed systems.
• Ability to work in global, cross-functional teams with advanced English proficiency.
• Exposure to AI/ML concepts like LLMs and generative AI is highly desirable.

Responsabilidades

• Design and develop internal AI platforms and frameworks.
• Build reusable libraries and tooling for generative AI applications.
• Integrate AI capabilities into enterprise-level platforms.
• Collaborate to implement AI-driven solutions across teams.

Conocimientos

Software engineering with Python or Java

Building APIs and microservices

Cloud-based architectures

CI/CD pipelines and DevOps practices

Problem-solving and system thinking

Knowledge of AI/ML concepts

Orchestration tools like Airflow

Educación

Bachelor’s degree in Computer Science or Software Engineering

Descripción del empleo

Jobgether is seeking an AI Engineering Specialist based in Mexico. In this role, you'll develop AI platforms and frameworks to support scalable AI adoption, working with engineering and product teams to translate complex business requirements into production-ready technical architectures.

Excellent qualifications include strong software engineering skills in Python or Java, experience with cloud architectures, and a bachelor's degree in a related field. The role offers comprehensive health coverage and opportunities for continuous learning in cutting-edge AI technologies.