Artificial Intelligence Engineer

Bayforce; México; A distancia; Jornada completa

Descripción de la vacante

A global technology firm is seeking a Data Science / AI Software Engineer to join their team in Mexico. This role focuses on building and deploying AI applications, integrating with APIs and cloud data platforms. Ideal candidates should have a strong software engineering background, experience in Python and SQL, and familiarity with AI principles. Collaboration with cross-functional teams is essential.

Formación

• 4–7 years of hands-on software engineering experience.
• Proficiency in Python and SQL for backend and data operations.
• Experience building AI applications on cloud data platforms.

Responsabilidades

• Design, develop, and deploy AI-driven applications using generative and agentic AI.
• Integrate AI solutions with data platforms and systems.
• Collaborate with teams to implement AI-driven automation use cases.

Conocimientos

Software engineering

Data experience

Python

SQL

API integration

Problem-solving

Communication

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Docker

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

SQL databases

Descripción del empleo

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Employment Type: Contract-to-Hire (6 months with intent to convert to FTE)

Location: Remote, Mexico

Overview

We are seeking a Data Science / AI Software Engineer to join a global AI and data engineering team focused on building enterprise-grade generative and agentic AI applications.

The ideal candidate brings a software engineering background with strong data experience—comfortable integrating large-language-model APIs and creating composable AI architectures rather than developing models from scratch.

Key Responsibilities

• Design, develop, and deploy AI-driven applications leveraging generative and agentic AI capabilities.
• Build scalable backend and frontend components that integrate with LLM APIs and enterprise data sources.
• Develop and optimize data workflows using SQL and Python.
• Integrate AI solutions with data platforms and systems such as Snowflake, AWS, or GCP.
• Utilize Docker and modern development practices to create modular, composable solutions.
• Automate and orchestrate data and AI pipelines to streamline business processes.
• Apply best practices in software engineering—version control, modularity, and secure integration.
• Collaborate with cross-functional teams including data engineering, data science, and strategy to implement practical AI-driven automation use cases.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 4–7 years of hands‑on software engineering experience.
• Proficiency in Python and SQL for backend and data operations.
• Experience building AI applications on cloud data platforms (e.g., Snowflake Cortex, AWS Bedrock, Azure OpenAI, or GCP Vertex AI).
• Knowledge of Docker, composable architecture, and API integration.
• Familiarity with generative AI / agentic AI principles and LLM APIs.
• Exposure to machine learning techniques (classification, regression, clustering) a plus.
• Excellent problem‑solving and communication skills.
• Spanish or bilingual capability preferred but not required.