17 publicaciones de empleo destacadas de sr. application database developer en mexico (¡Están contratando!)

Sr AI/ML Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- Experiencia en manufactura
Node.js Full Stack Developer Sr 2758
Xideral —Guadalajara, Jal.
- Home Office (Desde casa)
- DevOps
- Mantenimiento
- SQL
- Seguro dental
- Seguro de vida
Postulación rápida
Sr. Full Stack Engineering
Bizee Powered by Incfile —Puerta Aqua, Jal.
- $50,000 a $60,000 por mes
- Tiempo completo
- Informática
- Inglés
- Java
- Estacionamiento gratuito
- Descuento de gimnasio
Postulación rápida
Node.js Full Stack Developer
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- DevOps
- Mantenimiento
- SQL
- Seguro dental
- Seguro de vida
Postulación rápida
Sr Specialist Solution Architect, Databases, WWSO LATAM
Amazon Web Services Mexico S. de R.L. de C.V. - C68 —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Oracle
- Administración de personal
Data Management and BI Senior Executive, GOC
WPP Media —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Sr Software Developer - Full Stack (C# and Angular)
Aspen Technology —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
Sr. Backend Engineer + DevOps
Nexaminds —Edo. de México
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Sr. Associate - S&M - Customer Success 5B
EDM S de RL de CV —Zapopan, Jal.
- Microsoft Excel
- Administración de personal
- Experiencia en ventas
Postulación rápida
3d
Senior, Full Stack Engineering - C1 English - Hybrid
Bizee —Zapopan, Jal.
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- Java
- Seguro dental
- Seguro de la vista
Postulación rápida
Sr. Solutions Architect - AWS Mexico, Telco, Media & Entertainment
Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Inglés
Senior Software Engineer - Full Stack Level V - Java + React
Confiz —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- Java
Postulación rápida
Senior Software Engineer
BlackLine —Ciudad de México, CDMX
- Informática
- Java
- Maestría
9d
QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce
AppIQ Technologies —México
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Licenciatura
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Sr Data & Analytics Full Stack Developer - UI & Integrations - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Salesforce
- Licenciatura
- JavaScript
Postulación rápida
Sr Ruby on Rails Developer - Remote - ONLY MEXICO
Scalepex —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Servicio al cliente
Postulación rápida
Sr Java Backend Developer
Grid Dynamics —México
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- DevOps
- Java
- Seguro de la vista
- Seguro de vida

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Node.js Full Stack Developer Sr 2758
Xideral —Guadalajara, Jal.
Lead the design and development support for L4 of full‑stack applications using Angular, Node.js, and PostgreSQL. Vacation: 12 days per year.
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Sr AI/ML Engineer (LATAM Remote)

UP.Labs
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Derecho
Google Cloud Platform
Experiencia en bases de datos
Neo4j
Experiencia en manufactura
Python

Descripción completa del empleo

Sr AI/ML Engineer (LATAM Remote)

Remote • Guadalajara, Mexico

Engineering

Remote

Full-time

Overview

UP.Labs is a venture studio dedicated to building innovative startup companies from the ground up. We partner with leading corporations and entrepreneurs to identify major industry opportunities, validate new venture concepts, and turn early ideas into real products.

We’re seeking a Sr. AI/ML Engineer to help build applied AI systems across computer vision, LLM-powered workflows, intelligent automation, and production AI infrastructure.

This role is best suited for someone who is comfortable operating in early-stage, ambiguous environments. Many projects will begin with a business problem, rough concept, or operational pain point rather than a fully defined technical specification. You should be able to take a loosely defined problem, determine a practical technical path forward, make sound assumptions where details are missing, and drive toward a working solution.

What You’ll Work On

You’ll work on AI-driven applications involving image detection, object recognition, intelligent automation, and LLM-powered workflows. One key product area involves using computer vision models to identify industrial objects, human interactions, defects, and operational patterns in manufacturing environments.

You’ll also build LLM-based capabilities using modern orchestration frameworks, retrieval systems, tool-calling patterns, and agentic workflows. The work will often involve incomplete data, evolving requirements, and open-ended technical decisions.

This is a highly collaborative role, but not a heavily prescribed one. You’ll be expected to bring technical judgment, ownership, and initiative to ambiguous problems.

What You’ll Do

Design, train, evaluate, and deploy machine learning models for real-world applications
Build and improve computer vision pipelines for object detection, classification, and image understanding
Build LLM-powered features, agentic workflows, retrieval systems, and internal AI tools
Work with image data, structured data, unstructured documents, embeddings, vector databases, and tool-calling workflows
Translate ambiguous business and operational problems into practical AI/ML solutions
Build data pipelines, inference services, evaluation workflows, and production-ready AI systems
Evaluate model and agent performance, identify failure modes, and improve reliability over time
Collaborate with product, engineering, venture, and stakeholder teams to validate concepts and ship working products
Operate with autonomy in a fast-moving venture environment where priorities, requirements, and available data may evolve quickly

What We’re Looking For

Strong Python engineering skills and experience building production-oriented AI/ML systems
Hands-on experience with machine learning fundamentals, model evaluation, training workflows, and data processing pipelines
Experience building or deploying computer vision systems such as image detection, classification, object recognition, or related workflows
Experience working with modern LLMs, Generative AI tools, and AI-assisted development workflows
Hands-on experience building agentic AI workflows, multi-step LLM systems, tool-calling systems, or AI automation workflows
Experience building RAG, retrieval, or knowledge systems using embeddings, vector databases, document stores, structured data, or graph-based approaches
Experience deploying AI/ML systems into production environments, including inference services, monitoring, evaluation, and deployment workflows
Experience with cloud environments such as AWS, Azure, or GCP
Strong ownership mindset with the ability to operate without fully defined requirements, proactively identify next steps, and communicate tradeoffs clearly
Strong communication skills and ability to collaborate across technical and non-technical teams

Nice to Have

Experience with industrial, manufacturing, robotics, logistics, or operational data environments
Familiarity with edge deployment, camera systems, IoT data, sensor data, or real-time inference workflows
Experience with tools such as LangGraph, PydanticAI, LangChain, LlamaIndex, ChromaDB, Pinecone, Weaviate, FAISS, pgvector, Neo4j, or similar
Experience working in startups, venture studios, or early-stage product environments
Experience building AI-powered internal tools, developer workflows, or automation systems beyond core product work

UP.Labs Summary

UP.Labs builds high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. We partner with leading corporations and entrepreneurs to identify major industry opportunities, validate new venture concepts, and launch software and hardware companies from the ground up.

Our team works at the earliest stage of company creation, where ideas are still forming, requirements are evolving, and technical validation is critical. We take ventures from concept through MVP and help recruit the full-time team that will scale the business.

This environment requires people who are comfortable operating with ambiguity, making pragmatic technical decisions, and helping turn early product concepts into real, working systems.

Location: Remote

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sr. application database developer empleos en mexico

Sr AI/ML Engineer (LATAM Remote)

Node.js Full Stack Developer Sr 2758

Sr. Full Stack Engineering

Node.js Full Stack Developer

Sr Specialist Solution Architect, Databases, WWSO LATAM

Data Management and BI Senior Executive, GOC

Sr Software Developer - Full Stack (C# and Angular)

Sr. Backend Engineer + DevOps

Sr. Associate - S&M - Customer Success 5B

Senior, Full Stack Engineering - C1 English - Hybrid

Sr. Solutions Architect - AWS Mexico, Telco, Media & Entertainment

Senior Software Engineer - Full Stack Level V - Java + React

Senior Software Engineer

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce

Sr Data & Analytics Full Stack Developer - UI & Integrations - ONLY MEXICO

Sr Ruby on Rails Developer - Remote - ONLY MEXICO

Sr Java Backend Developer

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Overview

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