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KZ & Co.

We're building the future of KZ & Co.— come build It with us.

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Job Overview

Date Posted

January 3, 2026

Location

Mexico (Remote)

Experience

5+ Years in Machine Learning / AI Engineering

Qualification

Master's or Bachelor's in Computer Science, AI, or related field; PhD preferred for research track

Job Skills
Deep LearningLLMs & NLPPython & PyTorch/TensorFlowMLOps & Model DeploymentVector DBs & RAGModel OptimizationResearch & Experimentation

Job Description

We're hiring an Advanced AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions. You will work on large language models, recommendation systems, and intelligent automation that enhance our products and user experience.

Your responsibilities include experimenting with new architectures, optimizing models for production, and building scalable MLOps pipelines. You'll collaborate with product and engineering teams to identify AI opportunities, prototype solutions, and deploy models that deliver measurable impact.

This role is perfect for someone passionate about pushing the boundaries of AI, staying abreast of the latest research, and turning innovative ideas into production-ready systems.

What you'll bring

As an Advanced AI Engineer, you'll combine deep technical expertise with product thinking to build and deploy state-of-the-art AI solutions. You should be comfortable with research and experimentation while maintaining focus on production readiness and business impact.

  • 5+ years of experience in machine learning and AI engineering.
  • Deep expertise in LLMs, NLP, or computer vision.
  • Strong proficiency in Python, PyTorch, TensorFlow.
  • Experience with MLOps, model deployment, and monitoring.
  • Knowledge of RAG, vector databases, and retrieval systems.
  • Published research or open-source contributions (preferred).
  • Ability to communicate complex technical concepts to stakeholders.
Benefits

We invest heavily in AI talent and infrastructure. Along with a competitive package, you'll work with the latest models and tools, have access to GPU resources, and collaborate with a team that values innovation.

  • Competitive salary + equity + performance bonus.
  • Fully remote with flexible hours.
  • Dedicated GPU/compute budget for experimentation.
  • Conference attendance and research paper support.
  • Health, dental, and vision coverage.
  • Path to Principal AI Engineer or Research Lead.
Career opportunities

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