Enterprise AI Engineer - Python, APIs & Automation (Remote)

Corning Incorporated; Reynosa; Híbrido; MXN 480.000 - 720.000; Jornada completa

Descripción de la vacante

Corning Incorporated in Monterrey is seeking an AI Engineer to build, implement, and support AI-enabled applications, tools, agents, and integrations across Corning Optical Communications.

You will develop Python-based solutions, work with APIs and JSON payloads, and contribute to LLM-enabled workflows and enterprise automations. Collaborate with stakeholders to translate requirements into practical AI capabilities.

Formación

• Bachelor’s degree in a related technical discipline.
• 1–3 years of software/AI engineering experience.
• Hands-on Python development experience.
• Familiarity with APIs, JSON payloads, structured data, integrations, or application logic.
• Familiarity with LLM-based applications, chatbots, or AI-assisted workflows.

Responsabilidades

• Build, test, and support AI-enabled applications, tools, agents, automations, and integrations.
• Develop Python-based solutions and work with APIs, JSON payloads, model integrations, and LLM-enabled workflows.
• Support AI assistant tools, chatbot workflows, and enterprise integrations.
• Collaborate with technical teams and business stakeholders to translate requirements into solutions.
• Create user-friendly interfaces for AI agents and tools.
• Perform testing, debugging, documentation, and post-deployment support.

Conocimientos

Python

APIs

LLM workflows

Software development

Communication

English proficiency

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Databricks

Descripción del empleo

Corning Incorporated in Monterrey is seeking an AI Engineer to build, implement, and support AI-enabled applications, tools, agents, and integrations across Corning Optical Communications.

You will develop Python-based solutions, work with APIs and JSON payloads, and contribute to LLM-enabled workflows and enterprise automations. Collaborate with stakeholders to translate requirements into practical AI capabilities.