20 publicaciones de empleo destacadas de senior full stack software engineer, observability en interlomas, méx. (¡Están contratando!)

Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
QA Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- Mejora continua
- JavaScript
Site Reliability Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Full Stack Engineers (Phyton, React & AI Platforms)
Selection Book —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en manufactura
- Experiencia en operaciones bancarias
- Python
- Oportunidades de crecimiento
- Horarios flexibles
Solutions Architect (Web Development)
Onda —Álvaro Obregón, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Platform Engineer
Alcor —Ciudad de México, CDMX
- DevOps
- SQL
- Python
Postulación rápida
10d
Enterprise Integrations Lead (Boomi & Confluent Kafka)
Qualcomm —Ciudad de México, CDMX
- Incluye fines de semana
- Oracle
- Administración de personal
- Java
10d
Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
11d
Principal Associate SRE
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
Director, Infrastructure & Site Reliability Engineering
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- DevOps
Senior Machine Learning Engineer (Remote opportunity)
Hyatt Corporate Office —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
Partner Manager - Channels
Datadog —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- DevOps
- Plan de adquisición de acciones empresariales
Postulación rápida
GenBI Engineer
Kohler —Ciudad de México, CDMX
- SQL
- Experiencia en manufactura
- Python
DevOps Engineer
Restaurant365 —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
Sr. Devops Engineer
Monks —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
Postulación rápida
Software Engineer, AI Agent Platform
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en manufactura
- Liderazgo
- Python
Postulación rápida
Full-Stack .NET Developer | AWS | Remote in Mexico
SQDM —Ciudad de México, CDMX
- Home Office (Desde casa)
- Inglés
- SQL
- JavaScript
Senior Site Reliability Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Maestría
- Licenciatura
Postulación rápida
Staff Software Engineer (Backend) - Fable Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- CAD
- Java
- JavaScript
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python

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Senior AI Engineer

Ingersoll Rand -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelos de inteligencia artificial
Microsoft Excel
Derecho
Informática
Maestría
Experiencia en bases de datos
SQL
Licenciatura
Desarrollo de software
Experiencia en manufactura
Python
Ciencia de los datos

Descripción completa del empleo

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Role Summary

Design and deliver Generative AI and data products that power AI assistants for sales and technical support teams across Ingersoll Rand. This role focuses on applied AI engineering and LLM‑based systems built on Snowflake, Cortex AI, Vertex AI, and cloud‑native platforms.

You will partner with engineering and business teams to transform AI prototypes into reliable, production‑ready solutions, owning delivery with a strong technical foundation and product mindset.

The Core Challenge

Ingersoll Rand is expanding the use of Generative AI to enhance sales and technical support workflows. While LLMs enable rapid experimentation, delivering trusted, governed AI solutions at enterprise scale requires disciplined engineering.

This role bridges experimentation and production by building AI systems that integrate seamlessly with enterprise data, analytics, and operational platforms.

Key Responsibilities

Generative AI & AI Assistant Development

Design and deploy LLM‑powered AI assistants for sales and technical support use cases
Implement retrieval‑augmented generation (RAG) using embeddings, vector search, and enterprise data
Develop Generative AI solutions using Snowflake Cortex AI, Vertex AI, and external LLM APIs

Software Development

Design and develop web‑based AI applications, building backend services and features in Python that integrate AI models and enterprise data
Own the full software development lifecycle, writing clean, testable code with appropriate unit and integration tests
Build, test, and deploy AI solutions using modern pipelines, ensuring production reliability and scalability

Data Engineering & Analytics

Process and analyze large datasets using Snowflake
Design, build, and maintain ETL pipelines
Develop data models supporting analytics and AI workloads

Engineering & Platform Practices

Build reusable AI components, APIs, and shared services
Partner with platform and IT teams to ensure secure, standardized deployments
Contribute to engineering standards for testing, CI/CD, observability, and documentation

Visualization & Business Enablement

Develop dashboards and insights using Qlik
Communicate AI outcomes and insights to business stakeholders

Collaboration & Governance

Drive projects end‑to‑end with a product owner mindset
Ensure data security, compliance, and AI governance
Stay current with advances in AI and Generative AI technologies

Required Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field
5+ years of experience in AI engineering, data science, or machine learning
Strong proficiency in Python and SQL
Hands‑on experience with LLMs and Generative AI systems
Experience with Snowflake and cloud platforms
Strong communication and problem‑solving skills

Preferred Qualifications

Experience with Snowflake Cortex AI and Google Vertex AI
Experience with embeddings, vector databases, and RAG architectures
Manufacturing or industrial domain experience
Familiarity with MLOps practices

What This Role Is

An applied AI engineering role focused on production systems
A bridge between advanced AI capabilities and real business value
A role for engineers who thrive on ownership and impact

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.

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Quiero recibir la alerta de empleo más reciente para senior full stack software engineer, observability en interlomas, méx.

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