Enterprise AI Engineer - APIs, LLMs & Automations (Hybrid)

Corning Incorporated; Monterrey; Híbrido; MXN 420.000 - 620.000; Jornada completa

Descripción de la vacante

Corning Incorporated in Monterrey is seeking an AI Engineer to build and support AI-enabled applications, tools, agents, and enterprise integrations that drive business outcomes.

You will apply hands-on Python development, work with APIs and JSON payloads, and contribute to Databricks workflows and LLM-enabled workflows in an enterprise setting. This role blends software engineering with practical AI delivery and collaboration with cross-functional teams.

Formación

• Bachelor's degree in a technical discipline.
• 1–3 years in software or AI engineering.
• Hands-on Python experience.
• Experience with APIs, JSON, and data payloads.
• Familiarity with LLM-based applications and chatbots.
• Strong debugging, testing, and documentation basics.
• Good communication and teamwork.

Responsabilidades

• Build and support AI-enabled apps, tools, and automations.
• Develop Python-based solutions and APIs integration.
• Support AI assistant tools and chatbot workflows.
• Collaborate with tech and business teams to translate requirements.
• Deliver testing, debugging, and post-deployment support.
• Create reusable patterns and maintainable docs.

Conocimientos

Python development

API integration

LLM-enabled workflows

Software engineering

Communication

Team collaboration

Debugging & testing

Educación

Bachelor's degree in Computer Science or related

Herramientas

Databricks

Databricks Genie Spaces

JSON payloads

Version control

APIs

Descripción del empleo

Corning Incorporated in Monterrey is seeking an AI Engineer to build and support AI-enabled applications, tools, agents, and enterprise integrations that drive business outcomes.

You will apply hands-on Python development, work with APIs and JSON payloads, and contribute to Databricks workflows and LLM-enabled workflows in an enterprise setting. This role blends software engineering with practical AI delivery and collaboration with cross-functional teams.